Academic literature on the topic 'Sentimenti positivi'
Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles
Consult the lists of relevant articles, books, theses, conference reports, and other scholarly sources on the topic 'Sentimenti positivi.'
Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.
You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.
Journal articles on the topic "Sentimenti positivi"
1
Mancini, Giacomo, Nicole Righi, Elena Trombini, and Roberta Biolcati. "Intelligenza emotiva di tratto e burnout professionale negli insegnanti di scuola primaria. Una revisione della letteratura." RICERCHE DI PSICOLOGIA, no. 1 (May 2022): 1–22. http://dx.doi.org/10.3280/rip2022oa13705.
Full textAbstract:
La presente rassegna si propone di esaminare le pubblicazioni scientifiche internazionali che hanno indagato il rapporto tra l'Intelligenza Emotiva (intesa secondo il modello dei tratti e valutata attraverso questionari self-report), e il burnout professionale (caratterizzato da esaurimento emotivo, sentimenti di depersonalizzazione e ridotta autoefficacia) negli insegnanti di scuola primaria. Le recenti ricerche in questo campo, che non sono ancora state sufficientemente sistematizzate, sottolineano infatti l'importanza delle competenze emotive per facilitare e migliorare sia la prestazione lavorativa dei docenti, sia i processi di insegnamento-apprendimento. Alti livelli di Intelligenza Emotiva negli insegnanti sono correlati da un lato a una riduzione dello stress e dell'affaticamento emotivo, e dall'altro ad una maggiore soddisfazione personale nello svolgimento del proprio lavoro; inoltre, sono associati a migliori rapporti con tutti i protagonisti dell'ambiente educativo, con conseguenti effetti positivi sulla qualità della relazione con gli alunni e delle acquisizioni dei saperi.
2
Haidar, Abdullah, and Putri Oktavia Rusadi. "A Sentiment Analysis: History of Islamic Economic Thought." Journal of Islamic Economics (JoIE) 2, no. 2 (October 31, 2022): 150–63. http://dx.doi.org/10.21154/joie.v2i2.5082.
Full textAbstract:
This study reviews the history of Islamic economic thought research in Islamic economics and finance. It uses descriptive statistical analysis based on selected 125 article publications. The entire sample publications have been published from 1984 to 2022. This study analyzes the number of publications based on journal and year, the top authors, the top-cited paper, and the sentiment analysis. The results show that the research of the history of Islamic economic thought throughout the world has a high-positive sentiment of 1%, a positive sentiment of 27%, a negative sentiment of 33%, a high-negative sentiment of 1%, and the rest have a neutral sentiment of 38%. Also, the number of sentiments for these studies has increased in the world community; the most significant number of high-positive sentiments occurred in 2021, with one publication sentiment. Then the most significant number of positive sentiments occurred in 2019, with as many as seven published article sentiments. The most significant number of neutral sentiments occurred in 2018, the same as positive sentiments, seven published article sentiments, and the most significant number of negative sentiments occurred in 2020, six published article sentiments.Penelitian ini mencoba mengkaji sejarah penelitian pemikiran ekonomi Islam di bidang ekonomi dan keuangan Islam. Ini menggunakan analisis statistik deskriptif berdasarkan 125 publikasi artikel yang dipilih. Seluruh sampel publikasi telah diterbitkan dari tahun 1984 hingga 2022. Studi ini menganalisis jumlah publikasi berdasarkan jurnal dan tahun, penulis teratas, makalah yang dikutip teratas, dan analisis sentimen. Hasil penelitian menunjukkan bahwa penelitian sejarah pemikiran ekonomi Islam di seluruh dunia memiliki sentimen positif tinggi 1%, sentimen positif 27%, sentimen negatif 33%, sentimen negatif tinggi 1%, dan selebihnya. memiliki sentimen netral sebesar 38%. Selain itu, jumlah sentimen untuk studi ini telah meningkat di masyarakat dunia, jumlah sentimen positif tinggi terbesar terjadi pada tahun 2021 dengan satu sentimen artikel publikasi. Kemudian jumlah sentimen positif terbesar terjadi pada tahun 2019, yaitu sebanyak tujuh artikel sentimen yang dipublikasikan. Jumlah sentimen netral terbesar terjadi pada tahun 2018, sama dengan sentimen positif yaitu sebanyak tujuh sentimen artikel yang dipublikasikan, dan jumlah sentimen negatif terbesar terjadi pada tahun 2020 yaitu sebanyak enam sentimen artikel yang dipublikasikan.
3
Rossi, Roberta, Elisabetta Todaro, Giovanna Torre, and Chiara Simonelli. "Omosessualitŕ e desiderio di genitorialitŕ: indagine esplorativa su un gruppo di omosessuali italiani." RIVISTA DI SESSUOLOGIA CLINICA, no. 1 (July 2010): 23–40. http://dx.doi.org/10.3280/rsc2010-001002.
Full textAbstract:
Il desiderio di avere un figlio rappresenta un tipo di progettualitŕ multidimensionale, complessiva ed allargata per l'identitŕ individuale e di coppia. L'obiettivo della presente ricerca consiste nell'esplorare la presenza del desiderio di genitorialitŕ in un gruppo di omosessuali italiani, approfondendo le motivazioni ed il grado di riflessivitŕ e d'intensitŕ del desiderio di avere un figlio. La ricerca ha coinvolto 226 soggetti (143 M; 83 F) di etŕ compresa tra i 17 ed i 67 anni (media 31 anni; DS 9.36). Le aree indagate nel presente lavoro sono: dati sociodemografici, l'orientamento sessuale, le motivazioni alla genitorialitŕ (categorie: Benessere; Controllo Sociale; Felicitŕ; Identitŕ; Genitorialitŕ; Continuitŕ), il tempo impiegato a riflettere sui motivi per avere un figlio (Riflessivitŕ) e l'intensitŕ del desiderio alla genitorialitŕ (Intensitŕ del Desiderio). I risultati evidenziano che un'ampia maggioranza del gruppo esprime un desiderio di genitorialitŕ e l'intenzione di portarlo a compimento, con una maggiore rappresentanza delle donne e dei soggetti in coppia. I motivi per desiderare un figlio sono soprattutto legati alla sperimentazione dei sentimenti positivi che la relazione con un figlio comporta e al senso di realizzazione personale e di coppia. Non sono risultate per nulla influenti motivazioni di pressione sociale. L'indagine suggerisce l'importanza di considerare le nuove forme di progettualitŕ espresse dagli omosessuali alla luce di vecchi stereotipi evidenziando la crescita di nuove assertivitŕ nell'affermazione identitaria omosessuale.
4
Apif Supriadi and Fatmasari. "Implementasi Metode Klasifikasi Naive Bayes Pada Sistem Analisis Opini Pengguna Twitter Berbasis Web." Jurnal Sistem Informasi 10, no. 1 (February 3, 2021): 46–54. http://dx.doi.org/10.51998/jsi.v10i1.356.
Full textAbstract:
Abstract— Development of social media which is the result of technological development is an inseparable part of people's lives. Social media is a place where ordinary people express their feelings and opinions about something that concerns them. Inknowing the direction of public sentiment, surveys are usually done online or offline, this sentiment analysis system will facilitate and speed up the process of knowing the direction of public sentiment, in the case of research. This uses data from Twitter social media called tweets or tweets, web-based sentiment analysis system that will classify tweets into 3 (three) types of sentiments, namely positive, neutral and negative, then make a percentage to make it easier to see the direction of public sentiment. In classifying this system uses the Naive Bayes Classifier method and displays it in a web interface with the PHP programming language and uses the Application Programming Interface (API) to get data from Twitter. Intisari — Saat ini perkembangan media sosial yang merupakan hasil dari perkembangan teknologi menjadi bagian tak terpisahkan dari kehidupan masyarakat. Media sosial menjadi tempat masyarakat biasa mengutarakan berbagai perasaan dan opininya tentang suatu hal yang jadi perhatian mereka, dalam mengetahui arah sentimen masyarakat biasanya dilakukan survei baik secara online atau offline, sistem analisis sentimen ini akan memudahkan dan mempercepat proses mengetahui arah sentimen publik, dalam kasus penelitian ini menggunakan data dari media sosial Twitter yang disebut dengan tweets atau cuitan, sistem analisis sentimen berbasis web yang akan mengklasifikasikan cuitan kedalam 3 (tiga) jenis sentimen yaitu positif, netral dan negatif lalu melakukan persentasenya agar mempermudah melihat arah sentimen publik. Dalam melakukan klasifikasinya sistem ini menggunakan metode Naive Bayes Classifier dan menampilkannya dalam antarmuka web dengan bahasa pemrograman PHP dan menggunakan Application Programming Interface (API) dalam mendapatkan data dari Twitter.
5
Afzaal, Muhammad, Muhammad Usman, and Alvis Fong. "Predictive aspect-based sentiment classification of online tourist reviews." Journal of Information Science 45, no. 3 (July 25, 2018): 341–63. http://dx.doi.org/10.1177/0165551518789872.
Full textAbstract:
With the increase of online tourists reviews, discovering sentimental idea regarding a tourist place through the posted reviews is becoming a challenging task. The presence of various aspects discussed in user reviews makes it even harder to accurately extract and classify the sentiments. Aspect-based sentiment analysis aims to extract and classify user’s positive or negative orientation towards each aspect. Although several aspect-based sentiment classification methods have been proposed in the past, limited work has been targeted towards the automatic extraction of implicit, infrequent and co-referential aspects. Moreover, existing methods lack the ability to accurately classify the overall polarity of multi-aspect sentiments. This study aims to develop a predictive framework for aspect-based extraction and classification. The proposed framework utilises the semantic relations among review phrases to extract implicit and infrequent aspects for accurate sentiment predictions. Experiments have been performed using real-world data sets crawled from predominant tourist websites such as TripAdvisor and OpenTable. Experimental results and comparison with previously reported findings prove that the predictive framework not only extracts the aspects effectively but also improves the prediction accuracy of aspects.
6
Huang, Changqin, Zhongmei Han, Ming Li, Xizhe Wang, and Wenzhu Zhao. "Sentiment evolution with interaction levels in blended learning environments: Using learning analytics and epistemic network analysis." Australasian Journal of Educational Technology 37, no. 2 (May 10, 2021): 81–95. http://dx.doi.org/10.14742/ajet.6749.
Full textAbstract:
Sentiment evolution is a key component of interactions in blended learning. Although interactions have attracted considerable attention in online learning contexts, there is scant research on examining sentiment evolution over different interactions in blended learning environments. Thus, in this study, sentiment evolution at different interaction levels was investigated from the longitudinal data of five learning stages of 38 postgraduate students in a blended learning course. Specifically, text mining techniques were employed to mine the sentiments in different interactions, and then epistemic network analysis (ENA) was used to uncover sentiment changes in the five learning stages of blended learning. The findings suggested that negative sentiments were moderately associated with several other sentiments such as joking, confused, and neutral sentiments in blended learning contexts. Particularly in relation to deep interactions, student sentiments might change from negative to insightful ones. In contrast, the sentiment network built from social-emotion interactions shows stronger connections in joking-positive and joking-negative sentiments than the other two interaction levels. Most notably, the changes of co-occurrence sentiment reveal the three periods in a blended learning process, namely initial, collision and sublimation, and stable periods. The results in this study revealed that students’ sentiments evolved from positive to confused/negative to insightful.
7
Zhou, Xinyi, Shengmin Jin, and Reza Zafarani. "Sentiment Paradoxes in Social Networks: Why Your Friends Are More Positive Than You?" Proceedings of the International AAAI Conference on Web and Social Media 14 (May 26, 2020): 798–807. http://dx.doi.org/10.1609/icwsm.v14i1.7344.
Full textAbstract:
Most people consider their friends to be more positive than themselves, exhibiting a Sentiment Paradox. Psychology research attributes this paradox to human cognition bias. With the goal to understand this phenomenon, we study sentiment paradoxes in social networks. Our work shows that social connections (friends, followees, or followers) of users are indeed (not just illusively) more positive than the users themselves. This is mostly due to positive users having more friends. We identify five sentiment paradoxes at different network levels ranging from triads to large-scale communities. Empirical and theoretical evidence are provided to validate the existence of such sentiment paradoxes. By investigating the relationships between the sentiment paradox and other well-developed network paradoxes, i.e., friendship paradox and activity paradox, we find that user sentiments are positively correlated to their number of friends but rarely to their social activity. Finally, we demonstrate how sentiment paradoxes can be used to predict user sentiments.
8
Kumar, Abhishek, Vishal Dutt, Vicente García-Díaz, and Sushil Kumar Narang. "Twitter sentimental analysis from time series facts: the implementation of enhanced support vector machine." Bulletin of Electrical Engineering and Informatics 10, no. 5 (October 1, 2021): 2845–56. http://dx.doi.org/10.11591/eei.v10i5.3078.
Full textAbstract:
Sentiment analysis through textual data mining is an indispensable system used to extract the contextual social information from the texts submitted by the intended users. Now days, world wide web is playing a vital source of textual content being shared in different communities by the people sharing their own sentiments through the websites or web blogs. Sentiment analysis has become a vital field of study since based on the extracted expressions, individuals or the businesses can access or update their reviews and take significant decisions. Sentimental mining is typically used to classify these reviews depending on its assessment as whether these reviews come out to be neutral, positive or negative. In our study, we have boosted feature selection technique with strong feature normalization for classifying the sentiments into negative, positive or neutral. Afterwards, support vector machine (SVM) classifier powered with radial basis kernel with adjusted hyper plane parameters, was employed to categorize reviews. Grid search with cross validation as well as logarithmic scale were employed for optimal values of hyper parameters. The classification results of this proposed system provides optimal results when compared to other state of art classification methods.
9
Gao, Xiang, Weige Huang, and Hua Wang. "Financial Twitter Sentiment on Bitcoin Return and High-Frequency Volatility." Virtual Economics 4, no. 1 (January 31, 2021): 7–18. http://dx.doi.org/10.34021/ve.2021.04.01(1).
Full textAbstract:
This paper studies how sentiment affect Bitcoin pricing by examining, at an hourly frequency, the linkage between sentiment of finance-related Twitter messages and return as well as the volatility of Bitcoin as a financial asset. On the one hand, there was calculated the return from minute-level Bitcoin exchange quotes and use of both rolling variance and high-minus-low price to proxy for Bitcoin volatility per each trading hour. On the other hand, the mood signals from tweets were extracted based on a list of positive, negative, and uncertain words according to the Loughran-McDonald finance-specific dictionary. These signals were translated by categorizing each tweet into one of three sentiments, namely, bullish, bearish, and null. Then the total number of tweets were adopted in each category over one hour and their differences as potential Bitcoin price predictors. The empirical results indicate that after controlling a list of lagged returns and volatilities, stronger bullish sentiment significantly foreshadows higher Bitcoin return and volatility over the time range of 24 hours. While bearish and neutral financial Twitter sentiments have no such consistent performance, the difference between bullish and bearish ratings can improve prediction consistency. Overall, this research results add to the growing Bitcoin literature by demonstrating that the Bitcoin pricing mechanism can be partially revealed by the momentum on sentiment in social media networks, justifying a sentimental appetite for cryptocurrency investment.
10
Mushtaq, Muhammad Faheem, Mian Muhammad Sadiq Fareed, Mubarak Almutairi, Saleem Ullah, Gulnaz Ahmed, and Kashif Munir. "Analyses of Public Attention and Sentiments towards Different COVID-19 Vaccines Using Data Mining Techniques." Vaccines 10, no. 5 (April 22, 2022): 661. http://dx.doi.org/10.3390/vaccines10050661.
Full textAbstract:
COVID-19 is a widely spread disease, and in order to overcome its spread, vaccination is necessary. Different vaccines are available in the market and people have different sentiments about different vaccines. This study aims to identify variations and explore temporal trends in the sentiments of tweets related to different COVID-19 vaccines (Covaxin, Moderna, Pfizer, and Sinopharm). We used the Valence Aware Dictionary and Sentiment Reasoner (VADER) tool to analyze the public sentiments related to each vaccine separately and identify whether the sentiments are positive (compound ≥ 0.05), negative (compound ≤ −0.05), or neutral (−0.05 < compound < 0.05). Then, we analyzed tweets related to each vaccine further to find the time trends and geographical distribution of sentiments in different regions. According to our data, overall sentiments about each vaccine are neutral. Covaxin is associated with 28% positive sentiments and Moderna with 37% positive sentiments. In the temporal analysis, we found that tweets related to each vaccine increased in different time frames. Pfizer- and Sinopharm-related tweets increased in August 2021, whereas tweets related to Covaxin increased in July 2021. Geographically, the highest sentiment score (0.9682) is for Covaxin from India, while Moderna has the highest sentiment score (0.9638) from the USA. Overall, this study shows that public sentiments about COVID-19 vaccines have changed over time and geographically. The sentiment analysis can give insights into time trends that can help policymakers to develop their policies according to the requirements and enhance vaccination programs.
Dissertations / Theses on the topic "Sentimenti positivi"
1
Brito, Parcilene Fernandes de. "RELATOS VERBAIS DE CONSUMIDORES EM AVALIAÇÕES ON-LINE: PROSPECÇÃO COMPUTACIONAL E INTERPRETAÇÕES COM BASE NO BEHAVIORAL PERSPECTIVE MODEL (BPM)." Pontifícia Universidade Católica de Goiás, 2018. http://tede2.pucgoias.edu.br:8080/handle/tede/4036.
Full textAbstract:
Submitted by admin tede (tede@pucgoias.edu.br) on 2018-09-27T18:13:44Z
No. of bitstreams: 1
ParcileneFernandesdeBrito.pdf: 2444083 bytes, checksum: eea4e1b897bdd9e57504c34888b57c01 (MD5)Made available in DSpace on 2018-09-27T18:13:44Z (GMT). No. of bitstreams: 1 ParcileneFernandesdeBrito.pdf: 2444083 bytes, checksum: eea4e1b897bdd9e57504c34888b57c01 (MD5) Previous issue date: 2018-06-29
The vast amount of information available on the Internet have enabled numerous multidisciplinar investigations aimed to understand nuances of human consumption behavior, especially to identify people's opinions about products and services. From Behavioral Perspective Model (BPM), consumer behavior analysis can be conducted focusing on antecedent variables (behavioral setting and consumer learning history) and consequences (reinforcement and punishment, utilitarian and informative) to the occurrence of behavior. The present thesis investigated consumption behavior in the context of tourism, with BPM as theoretical support for interpretations of verbal data extracted from comments available on the TripAdvisor®, a website about tourism. Verbal responses of tourism consumers, engaged in the process of online avaluation of components of tourism products (specifically, Accommodations [ACO], Restaurants [RES] and Attractions [ATR]), were analyzed. Research participants were the unknown individuals who, between the beginning of February and the end of March 2017, emitted 6.438.497 comments distributed among the 100 most evaluated Brazilian touristic destinations at TribAdvisor®. In two studies (Study 1 [E1] and Study 2 [E2]), the thesis research aimed at: a) extraction and analysis of tourist´s verbal information (commentaries) throught a Sentiment Analysis (SA) computational technique; extraction the number of touristic product component (ACO, RES e ATR) evaluative indications emitted by tourism consumers with different statuses as TripColaborators; extraction of the number of votes (Likes) to the comments; b) describe the polarized evaluative response attributed to the 100 evaluated touristic destinations and interpret such responding considering BPM concepts. E1 resulted in the successful development of the SentimentALL tool, focusing on the AS module, and the generation the primary variables explored in E2 (n = 197). In E2, data generated in E1 and derived measures were explored (described in rankings and correlation analyzes) and interpreted using the BPM conceptual framework. With a fundamental exploratory caracter, the interpretative effort suggested profitable research lines and utility of the computational and psychological knowledges integration.
A grande quantidade de informações disponíveis na internet tem viabilizado numerosas investigações de caráter multidisciplinar com o objetivo de entender nuances do comportamento de consumo humano, especialmente identificar as opiniões das pessoas sobre produtos e serviços. A partir do Behavioral Perspective Model (BPM), análises do comportamento do consumidor podem ser realizadas considerando variáveis antecedentes (cenário do comportamento e história de aprendizagem do consumidor) e consequências (reforços e punições, utilitários e informativos) à ocorrência do comportamento. A presente tese investigou o comportamento de consumo no contexto do turismo, com o BPM como suporte teórico para interpretações de dados verbais extraídos de comentários disponíveis no TripAdvisor®, website do setor. Para tanto, analisaram-se as respostas verbais de turistas-consumidores no processo de “opinar on-line” sobre componentes de produtos turísticos (especificamente, acomodações – ACO, restaurantes – RES e atrações – ATR). Os participantes da pesquisa foram os indivíduos (desconhecidos) que, entre o início de fevereiro e o final de março de 2017, emitiram, no TripAdvisor®, 6.438.497 comentários distribuídos entre os 100 destinos turísticos brasileiros mais avaliados. Descrita em dois estudos (Estudo 1 [E1] e Estudo 2 [E2]), a pesquisa de tese se propôs a: a) extração e análise de informações verbais (comentários) dos turistas com base na técnica computacional Análise de Sentimentos (AS); extração do número de indicações avaliativas dos componentes do produto turístico (ACO, RES e ATR) emitidas por turistas-consumidores com diferentes status como TripColaboradores; extração do número de votos úteis (Likes) nos comentários; b) descrever o responder avaliativo polarizado atribuído aos 100 destinos turísticos avaliados e analisar interpretativamente tal responder a partir do BPM. O E1 resultou no desenvolvimento da ferramenta SentimentALL, com foco no módulo de AS, e na geração das variáveis primárias exploradas no E2 (n = 197). No E2, dados gerados no E1 e medidas derivadas foram explorados (descritos em rankings e análises de correlação) e interpretados com recurso ao referencial conceitual do BPM. De caráter fundamentalmente exploratório, o esforço interpretativo sugeriu linhas profícuas de pesquisa e a utilidade da integração entre conhecimentos computacionais e psicológicos.
2
Martins, Gabriela Pereira. "O positivismo: uma linguagem dos sentimentos." Universidade Federal de Juiz de Fora (UFJF), 2010. https://repositorio.ufjf.br/jspui/handle/ufjf/2513.
Full textAbstract:
Submitted by Renata Lopes (renatasil82@gmail.com) on 2016-09-16T17:30:23Z
No. of bitstreams: 1
gabrielapereiramartins.pdf: 9162154 bytes, checksum: 1a983295a36e9c190499c4194cc6d6ba (MD5)Approved for entry into archive by Diamantino Mayra (mayra.diamantino@ufjf.edu.br) on 2016-09-26T20:22:16Z (GMT) No. of bitstreams: 1 gabrielapereiramartins.pdf: 9162154 bytes, checksum: 1a983295a36e9c190499c4194cc6d6ba (MD5)
Made available in DSpace on 2016-09-26T20:22:16Z (GMT). No. of bitstreams: 1 gabrielapereiramartins.pdf: 9162154 bytes, checksum: 1a983295a36e9c190499c4194cc6d6ba (MD5) Previous issue date: 2010-09-30
Esta dissertação pretende mostrar que o positivismo não é uma filosofia dividida em dois momentos aparentemente contraditórios, expressos pela ciência e pela religião. Ao contrário, ela é uma filosofia na qual o sentimento é o elemento chave do entendimento, seja das explicações de caráter científicas ou das de conotação religiosa. Para chegar à finalidade desejada, parte-se de um estudo do positivismo em si, ou melhor, da obra de Auguste Comte, criador da filosofia positivista, visando a estabelecer parâmetros que pudessem definir com a necessária precisão o que é o positivismo comteano. Com isso, busca-se dar ao trabalho uma base de sustentação, evitando discussões especulativas, partindo, em seguida para o exame do positivismo no Brasil.
This paper intends to show that positivism is a philosophy shared by two seemingly contradictory moments, expressed by science and religion. Rather, it is a philosophy in which the feeling is the key element of understanding, it is the scientific explanation of nature or of religious connotation. To reach the desired purpose, it starts from a study of positivism itself, or rather the work of Auguste Comte, founder of the positivist philosophy, seeking to establish parameters that could define with sufficient precision what it is Comtean positivism. Thus, the aim is to provide the research with a theoretical foundation, to avoid mere speculative discussions, and to exam positivism in Brazil.
3
Noël, Stéphane. "Différences entre les types pensée et sentiment du Myers-Briggs Type Indicator selon l'humeur négative et positive et le stress." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1997. http://www.collectionscanada.ca/obj/s4/f2/dsk2/ftp04/mq23733.pdf.
Full text
4
Desit-Ricard, Isabelle. "Relations entre performances académiques, motivation, sentiment d’efficacité personnelle et buts d’accomplissement : une étude menée auprès d’étudiants de classes préparatoires aux grandes écoles scientifiques." Thesis, Aix-Marseille, 2015. http://www.theses.fr/2015AIXM3041.
Full textAbstract:
Cette recherche a été menée auprès d'étudiants de Classes Préparatoires aux Grandes Ecoles Scientifiques. Un de ses objectifs est d'analyser l'influence des variables motivationnelles sur la performance académique. L’auto-efficacité académique, l’orientation des buts et la motivation autodéterminée sont souvent citées pour leur rôle majeur dans la réussite universitaire. Ces variables sont issues de cadres théoriques distincts et nous souhaitons étudier comment elles s'influencent mutuellement. Des outils psychométriques, dont une échelle d’auto-efficacité académique, ont été créés et validés. Des analyses en pistes causales ont été effectuées afin de proposer un modèle traduisant les influences qui existent entre variables motivationnelles et performances académiques.Nos résultats montrent que :- l’auto-efficacité est la seule variable motivationnelle à avoir une influence directe sur les performances académiques ;- le but d’approche de la maîtrise est sous influence de l’auto-efficacité et une orientation vers ce type de but influence positivement la motivation intrinsèque et négativement l’amotivation ;- le but d’approche de la performance a une influence positive sur les différentes formes de motivation extrinsèque et, parmi ces dernières, la motivation extrinsèque à régulation identifiée influence positivement l’auto-efficacité tandis que la motivation extrinsèque à régulation externe l’influence négativement ;- l’amotivation influence négativement l’auto-efficacité académique ;- l’impact de l’amotivation sur les performances académiques est totalement médiatisée par l’auto-efficacité.Des prolongements de cette étude et certaines applications sont proposésThis research has been carried out among French science students enrolled in CPGE (Classes Préparatoires aux Grandes Ecoles). One of its objectives is to study how motivational variables influence academic achievement. Academic self-efficacy, achievement goals or self-determined motivation are reported to play an important part in academic achievement. By relating self-efficacy, goal orientations and motivation, as conceptualized in self-determination theory, to both preceding and subsequent academic achievement, it is possible to further investigate the structural relation between these variables. Therefore, we aim at analysing the mutual influences which exist among them.Psychometric tools, among which an academic self-efficacy scale, were created and validated. Path analysis were performed in order to produce a multivariate model including motivational variables, previous academic performance and subsequent academic achievement. Our results showed that:- self-efficacy is the only motivational variable that directly influences academic achievement; - mastery approach goal, which is influenced by self-efficacy, enhances intrinsic motivation but is negatively related to amotivation;- performance approach goal enhances extrinsic motivation and identified regulated extrinsic motivation is positively related to self-efficacy while externally regulated extrinsic motivation is negatively related to it;- amotivation is negatively related to self-efficacy;- Self-efficacy beliefs are mediators between amotivation and subsequent academic achievement.Future research could build on these findings. Suggestions of applications are provided
5
Azevedo, Catarina Maria Cortez. "Palavras com polarização positiva e polarização negativa em dois dicionários de língua portuguesa." Master's thesis, 2019. http://hdl.handle.net/1822/64676.
Full textAbstract:
Relatório de estágio de mestrado em Português Língua Não Materna – Língua Estrangeira e Língua SegundaO presente trabalho tem como objetivo verificar se a consulta dos dicionários é capaz de incutir polaridade no utilizador e analisar a capacidade de atribuição de sentimento do léxico SentiLex. Para isso, foi feita uma seleção de 60 adjetivos cuja polaridade (atribuída pelo SentiLex) é duvidosa, para serem reavaliadas por uma turma de 21 aprendentes de PLE da Universidade da Corunha, inscritos na unidade curricular Idioma Moderno: Português (nível A2) da licenciatura em Galego e Português, com a ajuda de dois dicionários disponibilizados para este fim. Concluindo a análise, comprovou-se que 56 dos 60 adjetivos selecionados estão incorretamente classificados pelo SentiLex, com base nos inquéritos recolhidos. Comprovou-se também que os dicionários nem sempre conseguem esclarecer o aprendente de PLE e que, por vezes, transmitem ideias equivocadas aos utilizadores.
The present work aims to verify whether the consultation of dictionaries is capable of instilling polarity in the user and analyze the ability to assign feeling by Sentilex lexicon. For this, was made a selection of 60 adjectives whose polarity (assigned by SentiLex) is dubious, to be reevaluated by a class of 21 portuguese learners from the University of A Coruña, enrolled in the Curricular Unit “Modern Language: Portuguese” (Level A2) of the degree in Galician and Portuguese, with the help of two dictionaries available for this purpose. In conclusion, it was proven that 56 of the 60 selected adjectives are incorrectly classified by SentiLex, based on the surveys collected. It has also been proven that dictionaries cannot always clarify the learner and sometimes transmit misconceptions to users.
6
Elen, Botros El Malek. "Sade: la menzogna del linguaggio e la quête della trasparenza." Doctoral thesis, 2020. http://hdl.handle.net/2158/1186326.
Full textAbstract:
Per esaminare l’influenza che gli eventi biografici possono aver avuto su un’opera marcata dalle intime pulsioni del suo autore, com’è nel caso di Sade, si è fatto ricorso sia a nozioni psicoanalitiche tecniche, sia a modelli biografici e di analisi testuale tributari della psicoanalisi. L’incarcerazione degli anni 1777-1790 è stata esaminata attraverso le missive private del periodo: in esse è emersa la problematica costituita dalla falsità del linguaggio altrui, e delineante un’impossibilità comunicativo-relazionale. Quest’ultima, d’altronde, già si era profilata negli anni infantili di Sade con la traumatica separazione dalla madre. Risultato dei due cruciali eventi biografici sarebbe (secondo un neologismo sadiano) l’“isolisme”, ovvero il rifiuto della comunicazione e della relazione con l’Altro. Tale rifiuto troverebbe espressione nell’opera nella negazione dei sentimenti altruisti, nel concomitante erotismo crudele e disumano perpetrato specie sulla figura femminile, e nell’impossibilità di conoscere appieno la “natura umana”. L’opera sarebbe allora la riarticolazione in simboli coscienti di quanto di sé e dell’altro, della dimensione erotica e comunicativo-relazione sfugge tendenzialmente alla coscienza e comprensione dell’autore. In tal senso, si può cogliere un’evoluzione dalla prima all’ultima delle opere prese in esame – Dialogue entre un prêtre et un moribond, Les 120 Journées de Sodome, Les Infortunes de la vertu, Histoire de Juliette: evoluzione che va nel senso di un allentamento dell’“isolisme”, di un’elevazione della donna da vittima a carnefice e di una maggiore conoscenza dell’essere umano. Concluderemmo allora che l’uomo Sade ha strutturato se stesso nell’opera, e viceversa che l’opera ha dato una nuova strutturazione all’esistenza di Sade.
In order to examine the influence that biographical events may have had on a work marked by the intimate drives of its author, as is the case with Sade, technical psychoanalytic notions, biographical models and textual analysis tributary to psychoanalysis have been used. The imprisonment of the years 1777-1790 was examined through the private missives of the period: in them emerged the problem constituted by the falsity of the language of others, and delineating a communicative-relational impossibility. The latter, on the other hand, had already emerged in Sade's childhood years with the traumatic separation from his mother. The result of the two crucial biographical events would be (according to a Sadian neologism) the "isolisme", that is the refusal of communication and relationship with the other. This refusal would find expression in the work in the denial of altruistic feelings, in the concomitant cruel and inhuman eroticism perpetrated especially on the female figure, and in the impossibility of fully knowing "human nature". The work would then be the rearticulation into conscious symbols of what, in the erotic and communicative-relationship dimensions, tends to escape the author's consciousness and understanding. In this sense, we can see an evolution from the first to the last of the works examined - Dialogue entre un prêtre et un moribond, Les 120 Journées de Sodome, Les Infortunes de la vertu, Histoire de Juliette: an evolution that goes in the sense of a loosening of the "isolisme", an elevation of the woman from victim to tormentor and a greater knowledge of the human being. We would conclude then that the man Sade has structured himself in the work, and vice versa that the work has given a new structure to Sade's existence.
7
WU, YIH-CHUN, and 吳翌群. "A Study on Community Platforms'' Consumer Position the Brand Personality Using Sentiment Analysis." Thesis, 2016. http://ndltd.ncl.edu.tw/handle/60999719890529251162.
Full text
8
Alencar, Felipe Fernandes. "O impacto Phubbing nos afetos, na qualidade das relações de amizade e no sentimento de pertença: um estudo quasi-experimental." Master's thesis, 2021. http://hdl.handle.net/10400.12/8269.
Full textAbstract:
Dissertação de Mestradoapresentada
no ISPA – Instituto Universitário para obtenção de
grau de Mestre em Psicologia ClínicaObjetivo: Investigar o impacto da exposição ao Phubbing (ação de ignorar a situação ou a pessoa com quem se está a interagir presencialmente para focar a atenção no próprio aparelho smartphone) nos afetos, na qualidade da relação de amizade e no sentimento de pertença. Método: 96 participantes assistiram a uma animação de 120 segundos que mostrava a interação entre dois amigos. Foi pedido que se imaginassem a fazer parte desta interação da forma mais vívida possível. Existiram três diferentes condições de vídeos: 1- sem phubbing, nenhum dos participantes utilizou o smartphone durante a conversa; 2- phubbing parcial, o parceiro de conversação utilizou o smartphone parte do tempo; 3- phubbing extensivo, o parceiro de conversação utilizou constantemente o smartphone. Cada participante foi alocado a uma condição diferente, e foram avaliados em relação à sua perceção acerca dos afetos percebidos, qualidade da relação de amizade e sentimento de pertença. Resultados: Participantes alocados à condição sem phubbing percecionaram mais afetos positivos do que negativos, percecionaram que a relação de amizade em questão é de maior qualidade e percecionaram maiores níveis de sentimento de pertença, quando comparados com os congéneres que foram alvos de phubbing de forma parcial ou de forma extensiva. Conclusão: O comportamento de phubbing com amigos pode deteriorar a qualidade da relação de amizade, bem como o tipo de afeto percebido e causar a diminuição da perceção do sentimento de pertença. Ações que alertem para este efeito deverão ser pensadas e implementadas, para proteção do bem-estar individual e relacional.
Objective: The purpose of this experimental research was to investigate possible impacts from phubbing between friends - the act of snubbing another party in a social interaction by instead focusing on one’s mobile phone. Method: 96 participants watched a 120 second animation of the interaction between two friends and were instructed to imagine themselves as part of this interaction as vividly as possible. The participants watched one of three video scenarios: in the first, one party displayed no phubbing behaviour throughout their interaction; the second video displayed phubbing behaviour during part of their interaction; and the third scenario displayed phubbing behaviour extensively. During the data collection phase of the study, the scenario that each participant watched was determined in a non-random distribution, on a first-come, first-serve basis by the investigator. The participants’ reactions were evaluated based on positive and negative affects, friendship quality and sense of belonging. Results: Participants who did not perceive themselves as being subjected to phubbing behaviour associated more favourably positive affects and less negative affects. They also perceived a higher quality of friendship and a greater feeling of belonging than those who perceived themselves as the subjects of phubbing behaviour. Conclusion: This research reveals that phubbing behavior in face-to-face interactions can deteriorate the quality of the friendships, lower the level of perceived affections and diminish the sense of belonging.
9
Simard, Stéphanie. "Le développement positif des jeunes en contexte sportif parascolaire : évaluation du programme d’intervention psychosociale Bien dans mes Baskets." Thèse, 2013. http://hdl.handle.net/1866/10533.
Full textAbstract:
L’objectif général de cette thèse était d’explorer le développement personnel de jeunes à risque de délinquance et de décrochage scolaire à travers leur participation à un programme d’intervention psychosociale nommé « Bien dans mes Baskets » (BdmB). Ce programme utilise le basketball parascolaire comme outil d’intervention et il a comme particularité qu’une bonne partie de ses entraineurs-intervenants détiennent une formation professionnelle en travail social ou domaines connexes.
Cette thèse présente les résultats de trois études faisant partie d’un projet de recherche plus vaste portant sur l’évaluation du programme BdmB. Une première étude a exploré le processus de transfert, à d’autres domaines d’activités, des habiletés de vie ciblées par le programme BdmB. Des entretiens semi-directifs ont été réalisés auprès de 14 anciens participants et sept anciennes participantes du programme. Nos résultats suggèrent que trois principaux facteurs semblent avoir joué un rôle dans le processus de transfert des habiletés de vie développées au sein de BdmB, soit la présence de contextes favorisant l’apprentissage expérientiel, la valeur relative accordée aux différents domaines d’activités et la trajectoire de vie. Il ressort également de nos données qu’au-delà du processus de transfert sur une base individuelle, il est possible qu’un transfert puisse s’opérer dans la communauté.
L’objectif de la deuxième étude était d’explorer comment et dans quelle mesure les expériences au sein de BdmB ont pu servir de levier au processus d’empowerment. Des entretiens semi-directifs ont été réalisés auprès de sept anciennes participantes de BdmB. Nos résultats suggèrent que la pratique sportive, combinée à une intervention psychosociale, peut contribuer au développement d’un plus grand contrôle sur sa vie. Cette amélioration serait la résultante cumulative de divers apprentissages, dont le développement et le transfert d’habiletés de vie et la capacité à résister aux influences externes négatives présentes dans leurs milieux de vie respectifs, ainsi que l’impact positif des expériences vécues au sein de BdmB sur la persévérance scolaire et les aspirations professionnelles.
Une troisième étude avait pour objectif d’évaluer l’impact du programme BdmB sur le sentiment d’appartenance à l’école et la perception de soutien social. Un devis quasi expérimental a été utilisé pour évaluer l’impact du programme auprès des athlètes-étudiants(es) actuels. Le groupe d’intervention était composé des athlètes-étudiants de BdmB et les groupes de comparaison étaient constitués des étudiants de la même école ne participant pas au programme et pratiquant ou non un autre sport. Les individus ont été sondés à deux reprises à l’aide d’un questionnaire auto administré sur une période de deux années scolaires. Les résultats de l’étude indiquent que le groupe BdmB a développé un meilleur sentiment d’appartenance et a perçu un meilleur soutien social par rapport aux groupes de comparaison.The main objective of this thesis was to explore the personal development of youth at risk of delinquency and dropout through their involvement in a psychosocial intervention program named "Bien dans mes baskets" (BdmB). This program uses extracurricular basketball as an intervention tool among youth facing various difficulties. It is worth noting that almost all the coaches have professional training in social work or related fields. This thesis presents the results of three studies as parts of a broader research project dealing with the evaluation of the BdmB program. The first study explored the transfer process of the life skills targeted by the BdmB program to other activity fields. Semi-structured interviews were conducted with 14 men and seven women former athlete-students. Our results suggest that, throughout the adult life, three main factors seem to have played a role in the transfer process involving life skills developed as part of BdmB, namely the presence of contexts favoring experiential learning, the relative value granted to the different activity fields and the life trajectory. Our data also shows that beyond the transfer process on an individual scale, a transfer can also occur within the community. The aim of the second study was to explore how participation in BdmB could foster the process of empowerment. Semi-structured interviews were conducted with seven former female participants of BdmB. Our results suggest that a team sport can lead to empowerment through positive socialization, especially when combined with psychosocial intervention. This improvement was most likely the result of cumulative learning experiences including the development and transfer of life skills, the capacity to resist negative external influences as well as the positive impact of experiences in BdmB on their academic aspirations and persistence. The aim of the third study was to evaluate the impact of BdmB program on sense of belonging to school and the presence of social support. A quasi-experimental design was used to evaluate the impact of the program among current participants. The intervention group consisted of the athlete-students of BdmB and the comparison groups consisted of the students from the same school who are not participating in the program, and taking into account whether they are involved or not in sport participation. Individuals were surveyed two times using a self-administered questionnaire over a period of two academic years. Results indicate that the intervention group has developed a better sense of belonging to school and has a better social support compared to comparison groups.
Books on the topic "Sentimenti positivi"
1
Le langage des émotions et des croyances: À la découverte des racines de soi. Montréal: Éditions Quebecor, 2011.
Find full text
2
Alice, Xavier, ed. Como educar com amor e autoconfiança: Aprenda a desenvolver sentimentos positivos na relação com seus filhos. Rio de Janeiro: BestSeller, 2007.
Find full text
3
Ken ding / fou ding pian zhang yin han qing gan qing xiang xing fen xi: Identification of positive/negative implicit sentiment at the document level. Zhengzhou: Henan da xue chu ban she, 2011.
Find full text
4
Capra, Greg. Sentiment Internal Indicators: Winning Swing and Position Trading. Wiley & Sons, Incorporated, John, 2007.
Find full text
5
Klein, Stefan. Fórmula de la Felicitat: Com S'originen Els Sentiments Positius. Columna Edicions, 2003.
Find full text
6
Davis, Coralynn V. Loving Compassion, Maternal Devotion, and the Yearning for Home. University of Illinois Press, 2017. http://dx.doi.org/10.5406/illinois/9780252038426.003.0005.
Full textAbstract:
This chapter focuses on tales in which the virtue of compassion is embodied in the persona of the devoted mother. Collectively, Maithil women's tales assert that maternal devotion presents an especially intensified and idealized form of the otherwise gender undifferentiated virtue of compassion. The action women take based on this maternal sentiment is portrayed as making a positive difference in the lives of children, even other women's children. As mentioned in the previous chapter, a mother may pass on her moral or sinful nature through the sharing of bodily substances. In these ways, through their stories, Maithil women position their own embodied selves as a fundamental source of social virtue.
7
BTZ, benjamin. Cahier des Ondes Positives: Cahier de Notes Vie Quotidienne , Pensées et Sentiments. Independently Published, 2021.
Find full text
8
Gottschalk, Peter. Islamophobia and Anti-Muslim Sentiment in the United States. Edited by Jane I. Smith and Yvonne Yazbeck Haddad. Oxford University Press, 2014. http://dx.doi.org/10.1093/oxfordhb/9780199862634.013.004.
Full textAbstract:
Islamophobia and anti-Muslim sentiment have existed as parts of the religious landscape since Europeans first arrived in North America. The long history of these antipathies is a balance between continuities of received wisdom regarding Islam and Muslims and historically specific outbursts sparked and shaped by current social, economic, political, and military events. Tapping into enduring suspicions, some provocateurs deliberately aim to perpetuate stereotypes, broadcast misinformation, promote discrimination, and even instigate violence. A comparative logic drives the skepticism, wariness, and—occasionally—outright hostility toward, at different times, Islam as a religion, a specific Muslim, or Muslims as a religious, racial, or ethnic stereotype. This comparison presupposes a positive American norm that Islam and Muslims fail to meet in terms of theology, development, sexism, and nationalism.
9
Salamońska, Justyna. Mobilities against Prejudice: The Role of Social Transnationalism in Europe in Sentiments towards Immigration from Other EU Member States and from Outside the EU1. Edinburgh University Press, 2018. http://dx.doi.org/10.3366/edinburgh/9781474428231.003.0005.
Full textAbstract:
Over the decades Europe has received many and diverse flows of people from around the world. Migrants coming from outside the EU along intra-European migrants have changed the landscape of migrations with their diverse mobility projects. At the same time European citizens residing in their countries of origin are mobile in multiple ways when they engage in travel and consumption across the borders or they connect to family and friends based in other countries. In this chapter I will argue that while European citizens themselves have become more mobile engaging in cross-border exchanges and interactions, these processes have also brought about the change in their thinking about mobility of others who migrate from other EU Member States and beyond. Using the Eurobarometer data I illustrate how attitudes towards intra- and extra-European migration differ, with largely positive sentiments towards migrants coming from within the EU and predominantly negative attitudes towards migrants from outside the EU. However, determinants of these attitudes remain similar, irrespectively if they are directed at European movers or third country nationals. Among examined determinants of sentiments, engagement in cross-border practices seems to coincide with more positive opinions about migration.
10
Wagner-Pacifici, Robin. From Moral Sentiments to Civic Engagement: Sociological Analysis as Responsible Spectatorship. Edited by Jeffrey C. Alexander, Ronald N. Jacobs, and Philip Smith. Oxford University Press, 2017. http://dx.doi.org/10.1093/oxfordhb/9780195377767.013.7.
Full textAbstract:
This article proposes an entirely different understanding of the goals of cultural sociology, arguing that the subject position of the “spectator” should replace that of the “social scientist.” It contends that cultural sociology should aspire for fidelity—to moods and experiences, to locations and dramas, and to the truth of experience—and that this fidelity can be achieved through witnessing. In order to build the case for a new kind of cultural sociology, the article cites the works of Adam Smith, and especially his theory of social morality founded on the figure of the “impartial spectator.” It also examines four initial problems, including the problem of the alleged distinction between social action and spectatorship and the problem of identifying the appropriate “spectacle.” It concludes by highlighting some important lessons that need to be taken into account so that cultural sociology will continue to flourish.
Book chapters on the topic "Sentimenti positivi"
1
Wang, Luyu, and Andrei P. Kirilenko. "Do Tourists from Different Countries Interpret Travel Experience with the Same Feeling? Sentiment Analysis of TripAdvisor Reviews." In Information and Communication Technologies in Tourism 2021, 294–301. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-65785-7_27.
Full textAbstract:
AbstractNational parks attract millions of tourists to enjoy the beauty of nature. The opinions and feelings expressed by tourists in their reviews through social media significantly impact other visitors’ tourism-related decisions. Notably, tourists from different countries visiting the same park may express different sentiments and post different experiences. It is not clear if those differences could be attributed to the differences in sentiment analysis software for different languages, or they reflect existing variability in culturally defined tourists’ sentiments. To address this question, this study analyzed 27,177 TripAdvisor Grand Canyon, US reviews from visitors arriving from ten different countries with the goal of identification of sentiment differences. We found that while all reviews tend to be positive, there are significant regional differences with European and Japanese tourists routinely expressing lesser satisfaction from their visit. We also found differences in the sentiment expressed in different regions of the same country, such as the north and south of Italy. Overall, we suggest that social media reflects the real differences in the sentiment of visitors coming from different origins.
2
Dwivedi, Dwijendra Nath, and Shailendra Pathak. "Sentiment Analysis for COVID Vaccinations Using Twitter: Text Clustering of Positive and Negative Sentiments." In International Series in Operations Research & Management Science, 195–203. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-87019-5_12.
Full text
3
Sigillo, Alexandra E. "Promoting Positive Perceptions of Justice by Listening to Children’s Sentiment in Custody Decisions." In Handbook of Community Sentiment, 173–82. New York, NY: Springer New York, 2014. http://dx.doi.org/10.1007/978-1-4939-1899-7_12.
Full text
4
Riefler, Petra. "Positive and Negative Sentiments Towards Other Nations." In Cross Cultural Issues in Consumer Science and Consumer Psychology, 89–109. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-65091-3_6.
Full text
5
Fernandez, Izaskun, Yolanda Lekuona, Ruben Ferreira, Santiago Fernández, and Aitor Arnaiz. "Sentiment Analysis Techniques for Positive Language Development." In Natural Language Processing and Information Systems, 172–83. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-07983-7_24.
Full text
6
Mukashema, Immaculée, Aslı Bugay, and Etienne Mullet. "Reconciliation Sentiment, Forgiveness, and Mental Health Among Genocide Victims." In Cross-Cultural Advancements in Positive Psychology, 185–99. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-89663-2_11.
Full text
7
Xu, Yueshen, Lei Li, Jianbin Huang, Yuyu Yin, Wei Shao, Zhida Mai, and Lei Hei. "Positive-Unlabeled Learning for Sentiment Analysis with Adversarial Training." In Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 364–79. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-30146-0_25.
Full text
8
Song, Pu, Wei Jiang, Fuqing Zhu, Yan Zhou, Jizhong Han, and Songlin Hu. "Structural Position Network for Aspect-Based Sentiment Classification." In Artificial Neural Networks and Machine Learning – ICANN 2020, 559–70. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-61616-8_45.
Full text
9
Wang, Dong, Tingwen Liu, and Bin Wang. "Revising Attention with Position for Aspect-Level Sentiment Classification." In Artificial Neural Networks and Machine Learning – ICANN 2019: Text and Time Series, 130–42. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-30490-4_12.
Full text
10
Wang, Chen-Ya, Yi-Chun Lin, Hsia-Ching Chang, and Seng-Cho T. Chou. "Consumer Sentiment in Tweets and Coupon Information-Sharing Behavior." In Information Diffusion Management and Knowledge Sharing, 823–42. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-7998-0417-8.ch041.
Full textAbstract:
The authors aim to explore the correlation between coupon information-sharing behavior and consumer sentiment by analyzing tweets. They used Twitter application programming interface to retrieve users' tweets, and took a machine learning approach for sentiment analysis. After the data pre-processing procedure, the authors then examined the correlation between sentiments in tweets and coupon information sharing. More than half of the most active users showed that their coupon information-sharing behavior correlated to both positive and negative sentiments. The results also showed that the response, coupon information sharing, for positive/negative sentiment had no significant time shifting pattern for most of the users. This study preliminary verifies the assumption that there is a correlation between users' sentiments in tweets and coupon information-sharing behavior, and indicates some interesting findings. The authors' findings may shed light on whether sentiment plays a role in social media communication concerning the sharing of coupon information.
Conference papers on the topic "Sentimenti positivi"
1
Thapa, Bipun. "Sentiment Analysis of Cyber Security Content on Twitter and Reddit." In 3rd International Conference on Data Mining and Machine Learning (DMML 2022). Academy and Industry Research Collaboration Center (AIRCC), 2022. http://dx.doi.org/10.5121/csit.2022.120708.
Full textAbstract:
Sentiment Analysis provides an opportunity to understand the subject(s), especially in the digital age, due to an abundance of public data and effective algorithms. Cybersecurity is a subject where opinions are plentiful and differing in the public domain. This descriptive research analyzed cybersecurity content on Twitter and Reddit to measure its sentiment, positive or negative, or neutral. The data from Twitter and Reddit was amassed via technology-specific APIs during a selected timeframe to create datasets, which were then analyzed individually for their sentiment by VADER, an NLP (Natural Language Processing) algorithm. A random sample of cybersecurity content (ten tweets and posts) was also classified for sentiments by twenty human annotators to evaluate the performance of VADER. Cybersecurity content on Twitter was at least 48% positive, and Reddit was at least 26.5% positive. The positive or neutral content far outweighed negative sentiments across both platforms. When compared to human classification, which was considered the standard or source of truth, VADER produced 60% accuracy for Twitter and 70% for Reddit in assessing the sentiment; in other words, some agreement between algorithm and human classifiers. Overall, the goal was to explore an uninhibited research topic about cybersecurity sentiment.
2
Santos, Roney L. de S., and Raimundo S. Moura. "Extração de Métricas e Análise de Sentimentos em Comentários Web no Domínio de Hotéis." In Brazilian Workshop on Social Network Analysis and Mining. Sociedade Brasileira de Computação - SBC, 2019. http://dx.doi.org/10.5753/brasnam.2016.6449.
Full textAbstract:
O significativo crescimento da Web tem a tornado uma rica fonte para a avaliação da opinião pública sobre uma entidade específica. Consequentemente, o número de opiniões disponíveis torna impossível uma tomada de decisão se for necessário ler e analisar todas as opiniões. Este trabalho apresenta um protótipo de uma aplicação Web que a partir de um comentário seja retornado o sentimento (positivo, negativo ou neutro), suas características e outras métricas de análise utilizando técnicas de Processamento de Linguagem Natural e Análise de Sentimentos. Experimentos mostram eficácia nos resultados de precisão de comentários com polaridade negativa e cobertura de comentários positivos em 84,93% e 94,33% respectivamente.
3
Huang, Yin-Fu, and Yi-Hao Li. "Sentiment Translation Model for Expressing Positive Sentimental Statements." In 2019 International Conference on Machine Learning and Data Engineering (iCMLDE). IEEE, 2019. http://dx.doi.org/10.1109/icmlde49015.2019.00025.
Full text
4
Deepa, R., Fardeen Khan, Harsh Singh, and Gundu Jitendra Satya Sai Gupta. "Sentiment Analysis on Food-Reviews Dataset." In International Research Conference on IOT, Cloud and Data Science. Switzerland: Trans Tech Publications Ltd, 2023. http://dx.doi.org/10.4028/p-ddx7i2.
Full textAbstract:
There has been a vast development in the field of the internet, it has led people to express their opinions. It is very important to understand the customer for the successful businesses. Customers express their thoughts in the form of reviews, which can be positive or negative. For successful businesses, it is essential for them to understand a customer and their behavior because it will help them to grow their business more successfully. In this paper, we have proposed sentiment analysis of restaurant review datasets using multinomial naive bayes and logistic regression. This program will help owners quickly determine the customer's sentiments.
5
Moreira, Vanessa De Sales, Sean Wolfgand Siqueira, Leila Andrade, and Mariano Pimentel. "Análise de Sentimentos: Comparando o uso de ferramentas e a análise humana." In XII Simpósio Brasileiro de Sistemas de Informação. Sociedade Brasileira de Computação, 2016. http://dx.doi.org/10.5753/sbsi.2016.5993.
Full textAbstract:
Análise de Sentimentos emergiu a partir da necessidade de se tratar e avaliar textos, opiniões e comentários realizados por usuários na Internet, no intuito de compreender como eles se relacionam com uma determinada entidade. Diversos métodos de análise têm sido desenvolvidos na tentativa de melhor traduzir as incertezas e a subjetividade dos sentimentos humanos. Esta pesquisa utilizou os dados de interações de alunos em uma rede social para identificar os sentimentos envolvidos em cada comentário. A partir dos textos coletados foram usadas análises de sentimento manual e automática e os resultados encontrados foram comparados com a avaliação realizada pelos autores dos comentários, a fim de identificar qual método mais aproximava dos reais. A comparação realizada indicou diferenças entre os resultados obtidos e o real: enquanto as ferramentas utilizadas classificaram mais de 40% dos comentários como neutros, a análise dos autores das mensagens indicou que 71% dos comentários eram positivos. Na classificação foram identificados outliers e divergências na categorização da intensidade dos sentimentos por cada método. Nenhuma abordagem, incluindo a realizada pelo pesquisador, foi considerada suficientemente eficiente, uma vez que o maior nível de acurácia obtido foi inferior a 70%.
6
Toivanen, Ida, Venla Räsänen, Jari Lindroos, Tomi Oinas, and Sakari Taipale. "Implementing sentiment analysis to an open-ended questionnaire: Case study of digitalization in elderly care during COVID-19." In CARMA 2022 - 4th International Conference on Advanced Research Methods and Analytics. valencia: Universitat Politècnica de València, 2022. http://dx.doi.org/10.4995/carma2022.2022.15089.
Full textAbstract:
The rise of technology has enabled us to utilize even more integrated systems for social and health care, but these systems are often complex and time-consuming to learn for the end users without relevant training or experience. We aim to perform sentiment analysis based on the answers of eldercare workers that have taken a survey about the effects of digitalization in their work. The collecting of the panel survey data was done in two waves: in 2019 and 2021. For the sentiment analysis we compare these two waves to determine the effects of COVID-19 in the work of caretakers. The research questions we ask are the following: “Has technology affected care workers’ emotions in their work and how?" and “Has COVID-19 affected care workers’ views on digitalization in their work?”. The main results suggest that criticism of modern technology persists through time - that is, before and after the pandemic the same type of negative and positive sentiments are manifested in the results. However, there is an exception of COVID-related terminology that is only visible in the latter part (year 2021) of the analysis.
7
Mušanović, Jelena, Raffaella Folgieri, and Maja Gregorić. "SENTIMENT ANALYSIS AND MULTIMODAL APPROACH APPLIED TO SOCIAL MEDIA CONTENT IN HOSPITALITY INDUSTRY." In Tourism in Southern and Eastern Europe 2021: ToSEE – Smart, Experience, Excellence & ToFEEL – Feelings, Excitement, Education, Leisure. University of Rijeka, Faculty of Tourism and Hospitality Management, 2021. http://dx.doi.org/10.20867/tosee.06.36.
Full textAbstract:
Purpose – The importance of the "data gold rush" that occurs in real time on various social media platforms is recognized by various tourism stakeholders and researcher. To extract knowledge from textual data, the purpose of this study is to apply text mining techniques to social media data. Methodology – Descriptive statistical analysis is conducted to quantify the activity of hotel brands on Facebook. The topic modelling technique Latent Dirichlet Allocation (LDA) is used to extract and validate knowledge from text data of 25 Croatian four- and five- star hotel brands that were active on social media in 2019. Sentiment analysis is used to identify personal attitudes expressed through user-generated text that hotel brands promote by posting messages on Facebook pages. Findings – The LDA analysis of the Croatian hotel posts extracted 6 topics: Wellbeing, Atmosphere, Promotion, Gastronomy, Surrounding and Satisfaction. The results of the sentiment analysis indicated that Facebook page followers are more likely to express positive sentiments reflecting an overall satisfaction with the promoted products, services and staff by hotel brands. Contribution – It is a unique study that provides an analysis of textual data in Croatian hospitality research. The application of the multimodal approach contributes to a better uses of contents in possible different strategies so that effective indicators can be given to perform an effective communication. This study provides recommendations, challenges, and current insights into applied communication strategies for marketers to increase a greater number of tourists visiting destinations.
8
Tan, Jie Ying, and Andy Sai Kit Chow. "Sentiment Analysis on Game Reviews: A Comparative Study of Machine Learning Approaches." In International Conference on Digital Transformation and Applications (ICDXA 2021). Tunku Abdul Rahman University College, 2021. http://dx.doi.org/10.56453/icdxa.2021.1023.
Full textAbstract:
Sentiment analysis is one of the major topics of natural language processing which is used to determine whether data is positive, negative or neutral. It is often performed on textual data to help businesses monitor brand and product sentiment in customer feedback to understand their customers’ needs. This paper explores various machine learning algorithms including Logistic Regression (LR), Multinomial Naïve Bayes (MNB), Support Vector Classifier (SVC), Multi-layer Perceptron Classifier (MLP) and Extreme Gradient Boosting Classifier (XGB) to build sentiment analysis models tailored for the gaming domain to classify reviews into positive, negative and neutral. The models were trained on game reviews obtained from Metacritic and Steam. Various data preprocessing and model optimization techniques have been employed and the performance of the models were evaluated and compared. SVC has been determined as the best-performing model among all the models. Keywords: Sentiment Analysis, Natural Language Processing, Machine Learning, Support Vector Machine, Game Reviews
9
Lai, Jennifer W. M., Matt Bower, Yvonne Breyer, and John De Nobile. "Investigating the characteristics of MOOCs according to eight critical dimensions: A case study." In ASCILITE 2020: ASCILITE’s First Virtual Conference. University of New England, Armidale, 2020. http://dx.doi.org/10.14742/ascilite2020.0115.
Full textAbstract:
Massive Open Online Courses (MOOCs) have been a popular trend in the online learning landscape. However, MOOC learners have expressed their dissatisfaction with the courses or problems with course management. To develop a widely accepted MOOC, the main aim of this study is to investigate the characteristics of MOOCs by using eight themes: learning outcomes, affective elements, behaviours, design, technology elements, pedagogy, presence and institutional environment. Using the case study approach, we explored the practices of four MOOCs in an Excel specialisation by using student unsolicited feedback, the literature and the analysis of the MOOCs by researchers. We analysed the learners’ posts on the official forums with auto-code sentiment and text search functions in Nvivo 12 Plus. The results of this study showed that high-rated MOOCs had approximately 74.7% of positive sentiments on discussion forums, with 1.2% negative and 24.1% neutral. The results indicated that MOOCs helped learners improve their level of knowledge in the subject area. Teachers/instructors also play a very significant role, and they have to provide clear explanations in different concepts. To conclude, this study intends to offer guidelines to researchers, educators, and MOOC designers to create successful MOOCs by focusing on the eight dimensions.
10
Crescencio, Marcio, Alexandre Leopoldo Gonçalves, and José Leomar Todesco. "PROCESSO DE CLASSIFICAÇÃO DE TEXTO." In Congresso Internacional de Conhecimento e Inovação (ciKi). Congresso Internacional de Conhecimento e Inovação (ciKi), 2020. http://dx.doi.org/10.48090/ciki.v1i1.867.
Full textAbstract:
O objetivo desse artigo foi desenvolver um experimento com a análise de sentimento das opiniões no TripAdvisor® sobre a atração Oktoberfest Blumenau utilizando a Mineração de Dados e Aprendizado de Máquina através de um processo de Descoberta de Conhecimento em Dados. Duas abordagens de classificação supervisionada de sentimento foram implementadas em Python®, o modelo probabilístico baseado no algoritmo Multinomial Naïve Bayes e o modelo de representação vetorial de palavras usando o Word2Vec. O desempenho dos modelos foi avaliado e comparado usando as métricas: Acurácia, Precisão, Recall e F-score. O modelo probabilístico alcançou acurácia de 90%, enquanto o modelo de rede neural recorrente LSTM foi de 92%. O sentimento nas opiniões é positivo para as características da festa típica alemã, a variedade e quantidade de bebidas, as músicas e a animação. O sentimento é negativo para filas nos banheiros e a superlotação aos sábados à noite.
Reports on the topic "Sentimenti positivi"
1
McCall, Jamie, Brittany Weston, James Onorevole, John Roberson, and Jamie Andrews. Extraordinary Times Call for Extraordinary Measures: Use of Loans and Grants for Small Business Assistance During the COVID-20 Pandemic. Carolina Small Business Development Fund and ResilNC, October 2022. http://dx.doi.org/10.46712/extraordinary.times.
Full textAbstract:
The financial losses caused by COVID-19 are extraordinary in scope and have affected every facet of the small business ecosystem. For entrepreneurs, recovery from the pandemic has similarly required extraordinary levels of assistance. We assess the connection between COVID-19 grant and loan emergency interventions with a variety of positive community economic development impacts. Our analysis draws from a survey of aid recipients across ten COVID-19 relief programs offered or administered by Carolina Small Business Development Fund between February 2020 and February 2022. The data highlight three main findings. First, while the pandemic’s economic damage was high across all underprivileged communities, in many cases the harms disproportionately accrued to Black-owned firms. Second, the results show that grant initiatives are better for short-term financial stability and are likely to position recipients for future financing opportunities. Finally, disaster loans are favored for outcomes related to higher employment retention and a creating a more favorable business sentiment outlook.
2
Gutiérrez Fernández, Emilio, and Adrian Rubli. Challenges for Measuring the LGBT+ Population and Homophobia in Mexico. Inter-American Development Bank, February 2023. http://dx.doi.org/10.18235/0004747.
Full textAbstract:
We contribute to understanding the challenges for estimating the size of the LGBTQ population and discriminatory sentiment against it by surveying 10,003 individuals, whom we randomize into a direct question or an Item Count Technique (ICT) elicitation group. The fractions of the population that self-identify as LGBTQ, that reports having had same-sex sexual experiences, and that has felt same-sex attraction are higher for our sample than those obtained from government surveys. However, the difference between estimates recovered from our direct questions and through the ICT does not always have the expected sign. The negative relationship between age and self-identifying as non-heterosexual is present both in the government survey and in our direct question sample but vanishes when measured with the ICT. The positive correlation between age and homophobic sentiment is present across samples and elicitation techniques. We find no significant variation in all measures for formal vs informal workers.
3
Klein, Richard, Katy Harris, Inès Bakhtaoui, Andrea Lindblom, and Marcus Carson. Building climate diplomacy back better: imagining the UNFCCC meetings of tomorrow. Stockholm Environment Institute, September 2021. http://dx.doi.org/10.51414/sei2021.019.
Full textAbstract:
Could the future of our planet be decided on Zoom? The feasibility of “online climate negotiations” was the issue the OnCliNe project initially set out to assess. However, experiences over the last 18 months illustrated that many of the diverse activities organised under the umbrella of the United Nations Framework Convention on Climate Change (UNFCCC) could be held online, albeit with challenges. The real question was whether they could be held in ways that increase the effectiveness, inclusiveness and transparency of the UNFCCC process. This report reflects the sentiment of many stakeholders that there is an opportunity to harness the interruption and introspection that the pandemic imposed into a “positive disruption” of the process. If actions taken now can transcend the tendency to return to “business as usual” as soon as circumstances allow, and instead work towards a meaningful transformation of the climate talks, the UNFCCC process can be made more fit for purpose for tackling one of humanity’s greatest challenges. This will require creativity, courage, and active and decisive leadership.