Literatura científica selecionada sobre o tema "Twitter corpora"
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Artigos de revistas sobre o assunto "Twitter corpora"
Aditya Prakash. "Twitter Sentimental Analysis". International Journal for Modern Trends in Science and Technology 6, n.º 12 (18 de dezembro de 2020): 355–59. http://dx.doi.org/10.46501/ijmtst061266.
Texto completo da fonteDanielewicz-Betz, A., H. Kaneda, M. Mozgovoy e M. Purgina. "Creating English and Japanese Twitter Corpora for Emotion Analysis". International Journal of Knowledge Engineering-IACSIT 1, n.º 2 (2015): 120–24. http://dx.doi.org/10.7763/ijke.2015.v1.20.
Texto completo da fonteHu, Yuheng, Kartik Talamadupula e Subbarao Kambhampati. "Dude, srsly?: The Surprisingly Formal Nature of Twitter's Language". Proceedings of the International AAAI Conference on Web and Social Media 7, n.º 1 (3 de agosto de 2021): 244–53. http://dx.doi.org/10.1609/icwsm.v7i1.14443.
Texto completo da fonteSifianou, Maria. "Conceptualizing politeness in Greek: Evidence from Twitter corpora". Journal of Pragmatics 86 (setembro de 2015): 25–30. http://dx.doi.org/10.1016/j.pragma.2015.05.019.
Texto completo da fonteLing, Wang, Luís Marujo, Chris Dyer, Alan W. Black e Isabel Trancoso. "Mining Parallel Corpora from Sina Weibo and Twitter". Computational Linguistics 42, n.º 2 (junho de 2016): 307–43. http://dx.doi.org/10.1162/coli_a_00249.
Texto completo da fonteLiu, Xuan, Guohui Zhou, Minghui Kong, Zhengtong Yin, Xiaolu Li, Lirong Yin e Wenfeng Zheng. "Developing Multi-Labelled Corpus of Twitter Short Texts: A Semi-Automatic Method". Systems 11, n.º 8 (1 de agosto de 2023): 390. http://dx.doi.org/10.3390/systems11080390.
Texto completo da fonteBokányi, Eszter, Dániel Kondor e Gábor Vattay. "Scaling in words on Twitter". Royal Society Open Science 6, n.º 10 (outubro de 2019): 190027. http://dx.doi.org/10.1098/rsos.190027.
Texto completo da fonteYadav, Madan Lal, Anurag Dugar e Kuldeep Baishya. "Decoding Customer Opinion for Products or Brands Using Social Media Analytics". International Journal of Intelligent Information Technologies 18, n.º 2 (abril de 2022): 1–20. http://dx.doi.org/10.4018/ijiit.296271.
Texto completo da fonteGonzález Fernández, Adela. "Big data y corpus lingüísticos para el estudio de la densidad léxica". SKOPOS. Revista Internacional de Traducción e Interpretación. e-ISSN: 2695-8465. ISSN: 2255-3703 9 (15 de julho de 2019): 107–22. http://dx.doi.org/10.21071/skopos.v9i0.12144.
Texto completo da fonteAbdalla, Mohamed, Magnus Sahlgren e Graeme Hirst. "Enriching Word Embeddings with a Regressor Instead of Labeled Corpora". Proceedings of the AAAI Conference on Artificial Intelligence 33 (17 de julho de 2019): 6188–95. http://dx.doi.org/10.1609/aaai.v33i01.33016188.
Texto completo da fonteTeses / dissertações sobre o assunto "Twitter corpora"
Lavender, Andrew Jordan. "Code Switching, Lexical Borrowing, and Polylanguaging in Valencian Spanish| An Analysis of Data From Conversational Corpora and Twitter". Thesis, State University of New York at Albany, 2017. http://pqdtopen.proquest.com/#viewpdf?dispub=10281503.
Texto completo da fonteThis study examines lexical borrowing, code switching, and polylanguaging in Valencian Spanish to better understand how each is used differently in oral conversation in comparison with online communication on Twitter. This study compares data collected from three published corpora of oral interviews of speakers of Valencian Spanish with data collected from Twitter profiles of individuals residing in Valencia. In each of the sources Spanish is the preferred code into which Valencian material is inserted. A unique feature of data from the published corpora is the high frequency of code switching (CS) into Valencian in instances of reported speech. With regard to frequency, Twitter users switch from Spanish into Valencian, followed by from Valencian into Spanish and then from Spanish into English. On Twitter, the most frequent type of switch found is the tag switch, which includes exhortatives, greetings and farewells, happy birthday wishes, and a variety of other types of tags and other idiomatic expressions used in a highly emblematic fashion as a way of preforming identity. Both intrasentential and intersentential switches also appear online and reflect how discourse might be organized differently online than offline. In looking at lone vs. multiword insertions, the importance of turn taking is noted and instances where speakers are not in a naturalistic conversation evidence traits which influence patterns of CS and polylanguaguing. Additionally, lexical economy is suggested as a motivating factor for CS on Twitter given the platform’s technological limitation of 140 characters per tweet.
Russ, Robert Brice. "Examining Regional Variation Through Online Geotagged Corpora". The Ohio State University, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=osu1385420187.
Texto completo da fonteStephan, David Paul. "Just Tweet It: Sports Teams' Communication of CSR on Twitter". BYU ScholarsArchive, 2016. https://scholarsarchive.byu.edu/etd/6082.
Texto completo da fonteGionchetti, Enrico <1996>. ""Twitter, social corporate responsibility and economic performance: how multinational companies exploit social media"". Master's Degree Thesis, Università Ca' Foscari Venezia, 2022. http://hdl.handle.net/10579/20842.
Texto completo da fonteMiletic, Filip. "An investigation into contact-induced semantic shifts in Quebec English : conciliating corpus-based vector models and variationist sociolinguistic inquiry". Electronic Thesis or Diss., Toulouse 2, 2022. http://www.theses.fr/2022TOU20034.
Texto completo da fonteThis dissertation investigates contact-induced semantic shifts in Quebec English, i.e., preexisting English words which are used with a different meaning due to the potential influence of French. I propose a novel approach at the intersection of natural language processing and variationist sociolinguistics, aiming to provide a more comprehensive descriptive account as well as assess the contributions of the implemented methods.In order to conduct computational analyses of semantic variation, I created a corpus containing 78.8 million tweets from Montreal, Toronto, and Vancouver. It was used to implement different types of vector space models, i.e., computational representations of word meaning. Type-level models were used to identify new semantic shifts based on the semantic differences between Montreal and the other two cities. Token-level models were used in finer-grained analyses and allowed to further characterize their use. Despite promising results, systematic quantitative evaluation and extensive qualitative analyses suggest that these methods are hampered by noise related to their inherent characteristics as well as corpus structure.These large-scale approaches were complemented with finer-grained data collected through sociolinguistic interviews with 15 speakers living in Montreal. Varying correlations between lexical items and a range of sociodemographic factors, coupled with qualitative remarks on their use, point to four distinct patterns of synchronic variation; these in turn reflect potential diachronic processes. Interspeaker variability suggests that the use of semantic shifts is driven by speakers who tend to be younger and proficient in both English and French. The acceptability ratings are weakly correlated with computational variation measures, suggesting that they capture different dimensions of semantic variation.Overall, this dissertation has provided the first systematic description of contact-induced semantic shifts in Quebec English, and highlighted the complementarity of approaches used in different disciplines. These considerations have provided a pathway towards a better-informed use of corpus-based computational methods in studies of sociolinguistic phenomena
Skytt, Frida. "Sorry seems to be the hardest word : A case study of corporate apologies on Twitter". Thesis, Stockholms universitet, Engelska institutionen, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-118088.
Texto completo da fonteКороткіх, С. Г. "Корпоративний твіттер як стимулючий засіб привернення уваги до бренду". Thesis, Сумський державний університет, 2014. http://essuir.sumdu.edu.ua/handle/123456789/38362.
Texto completo da fonteÅstrand, Adam, e Naimul Abd. "What corporate social media content leads to higher consumer response : A study of local brands in Sweden". Thesis, Linnéuniversitetet, Institutionen för marknadsföring (MF), 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-53432.
Texto completo da fonteAmozegar, Mahdiyeh. "Tweeting in Times of Crisis: Shifting Personal Value Priorities in Corporate Communications and Impact on Consumer Engagement". Thesis, Université d'Ottawa / University of Ottawa, 2021. http://hdl.handle.net/10393/42416.
Texto completo da fonteDavis, Jeannette Katherine. "An invitation to understand: An alternative approach to the corporate voice in public relations". Thesis, Virginia Tech, 2020. http://hdl.handle.net/10919/98577.
Texto completo da fonteMaster of Arts
This thesis introduces public relations scholars and practitioners to the benefits of using a more inclusive approach to their corporate voice on social media through an approach called invitational rhetoric. Invitational rhetoric is defined by Foss and Griffin (1995) as an "invitation to understanding as a means to create a relationship rooted in equality, immanent value, and self-determination" (p. 5). Because of societal changes inspired by changing gender norms, the traditional masculine corporate voice that is grounded in persuasive, authoritative intent may no longer be the most effective corporate communication style. Traditional approaches to corporate communication are being challenged by more inclusive approaches that emphasize interaction and understanding with the public over purely persuasive approaches. This thesis conducts a case study of the Bud Light brand's use of Twitter. The purpose of this thesis is to determine if the brand makes use of an invitational rhetoric approach, and, if so, explore how Bud Light uses invitational rhetoric. The thesis also analyzes the implications of an invitational rhetoric approach for corporate public relations practice. I argue an invitational rhetoric approach to corporate public relations may encourage more equitable communication between organizations and publics rather than privilege one authoritative, persuasive corporate voice over other voices involved in the conversation.
Livros sobre o assunto "Twitter corpora"
Coats, Steven, e Veronika Laippala. Linguistics across Disciplinary Borders. Bloomsbury Publishing Plc, 2024. http://dx.doi.org/10.5040/9781350362291.
Texto completo da fonteHatching Twitter: A True Story of Money, Power, Friendship, and Betrayal. New York, USA: Portfolio Hardcover, 2013.
Encontre o texto completo da fonteTereszkiewicz, Anna. Customer Encounters on Twitter: A Study of Positive Evaluation and Complaint Management on English Corporate Profiles. Jagiellonian University, 2020.
Encontre o texto completo da fonteBilton, Nick. Hatching Twitter: A True Story of Money, Power, Friendship, and Betrayal. Penguin Publishing Group, 2014.
Encontre o texto completo da fonteBilton, Nick. Hatching Twitter: A True Story of Money, Power, Friendship, and Betrayal. Hodder & Stoughton, 2014.
Encontre o texto completo da fonteLondon, Ian. Hollywood Online. Bloomsbury Publishing Inc, 2024. http://dx.doi.org/10.5040/9781501337789.
Texto completo da fonteAnderson, C. W., Leonard Downie e Michael Schudson. The News Media. Oxford University Press, 2017. http://dx.doi.org/10.1093/wentk/9780190206192.001.0001.
Texto completo da fonteCapítulos de livros sobre o assunto "Twitter corpora"
Moreno-Ortiz, Antonio. "Managing Large Twitter Datasets". In Making Sense of Large Social Media Corpora, 31–58. Cham: Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-52719-7_3.
Texto completo da fonteBaker, Paul, e Tony McEnery. "Who Benefits When Discourse Gets Democratised? Analysing a Twitter Corpus around the British Benefits Street Debate". In Corpora and Discourse Studies, 244–65. London: Palgrave Macmillan UK, 2015. http://dx.doi.org/10.1057/9781137431738_12.
Texto completo da fonteBazo, Alexander, Manuel Burghardt e Christian Wolff. "TWORPUS – An Easy-to-Use Tool for the Creation of Tailored Twitter Corpora". In Language Processing and Knowledge in the Web, 23–34. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-40722-2_3.
Texto completo da fonteTapia, Pablo A., e Juan D. Velásquez. "Twitter Sentiment Polarity Analysis: A Novel Approach for Improving the Automated Labeling in a Text Corpora". In Active Media Technology, 274–85. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-09912-5_23.
Texto completo da fonteAlmström Persson, Gunilla. "Crisis Communication on Social Media: Informalization in the Hour-by-Hour Struggle for Information". In Nordic Perspectives on the Discourse of Things, 117–37. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-33122-0_6.
Texto completo da fonteTontodimamma, Alice, Stefano Anzani, Marco Antonio Stranisci, Valerio Basile, Elisa Ignazzi e Lara Fontanella. "An experimental annotation task to investigate annotators’ subjectivity in a Misogyny dataset". In Proceedings e report, 281–86. Florence: Firenze University Press and Genova University Press, 2023. http://dx.doi.org/10.36253/979-12-215-0106-3.49.
Texto completo da fonteAdi, Ana. "#CSR on Twitter". In Communicating Corporate Social Responsibility in the Digital Era, 340–57. 1 Edition. | New York : Routledge, 2018.: Routledge, 2017. http://dx.doi.org/10.4324/9781315577234-21.
Texto completo da fonteAdi, Ana. "#Sustainability on Twitter: Loose Ties and Green-Washing CSR". In Corporate Responsibility and Digital Communities, 99–122. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-63480-7_6.
Texto completo da fonteFarache, Francisca, Isobel Tetchner e Jana Kollat. "CSR Communications on Twitter: An Exploration into Stakeholder Reactions". In Corporate Responsibility and Digital Communities, 145–63. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-63480-7_8.
Texto completo da fonteLoke, R. E., e I. Zerouk. "Corporate Reputation of Companies on Twitter Seen from a Sustainability Perspective". In Marketing and Smart Technologies, 515–33. Singapore: Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-9272-7_42.
Texto completo da fonteTrabalhos de conferências sobre o assunto "Twitter corpora"
Hajjem, Malek, Chiraz Latiri e Yahya Slimani. "Twitter As a Multilingual Source of Comparable Corpora". In MoMM '14: The 12th International Conference on Advances in Mobile Computing and Multimedia. New York, NY, USA: ACM, 2014. http://dx.doi.org/10.1145/2684103.2684154.
Texto completo da fonteVilares, David, Miguel A. Alonso e Carlos Gómez-Rodríguez. "Sentiment Analysis on Monolingual, Multilingual and Code-Switching Twitter Corpora". In Proceedings of the 6th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis. Stroudsburg, PA, USA: Association for Computational Linguistics, 2015. http://dx.doi.org/10.18653/v1/w15-2902.
Texto completo da fonteTan, Luchen, Haotian Zhang, Charles Clarke e Mark Smucker. "Lexical Comparison Between Wikipedia and Twitter Corpora by Using Word Embeddings". In Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 2: Short Papers). Stroudsburg, PA, USA: Association for Computational Linguistics, 2015. http://dx.doi.org/10.3115/v1/p15-2108.
Texto completo da fonteDi Giovanni, Marco, e Marco Brambilla. "Exploiting Twitter as Source of Large Corpora of Weakly Similar Pairs for Semantic Sentence Embeddings". In Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. Stroudsburg, PA, USA: Association for Computational Linguistics, 2021. http://dx.doi.org/10.18653/v1/2021.emnlp-main.780.
Texto completo da fonteTyshchenko, Oleh. "FORMULATIONS OF WISHES IN THE TRADITIONAL RUSSIAN FOLKLORE AND IN THE INTERNET COMMUNICATION". In Aktuální problémy výuky ruského jazyka XIV. Brno: Masaryk University Press, 2020. http://dx.doi.org/10.5817/cz.muni.p210-9781-2020-23.
Texto completo da fonteSwamy, Steve Durairaj, Anupam Jamatia, Björn Gambäck e Amitava Das. "NIT_Agartala_NLP_Team at SemEval-2019 Task 6: An Ensemble Approach to Identifying and Categorizing Offensive Language in Twitter Social Media Corpora". In Proceedings of the 13th International Workshop on Semantic Evaluation. Stroudsburg, PA, USA: Association for Computational Linguistics, 2019. http://dx.doi.org/10.18653/v1/s19-2124.
Texto completo da fonteMoyo, Tabani, Cecile Gerwel Proches, Emmanuel Mutambara e Upasana Gitanjali Singh. "Study of Twitter as a social blog and its impact on the intersectionality of corporate governance and corporate reputation management in the telecommunications industry." In New outlooks for the scholarly research in corporate governance. Virtus Interpress, 2023. http://dx.doi.org/10.22495/nosrcgp21.
Texto completo da fonteTan, Wai Beng, e Tong Ming Lim. "A Study on the Centrality Measures to Determine Social Media Influencers in Twitter". In International Conference on Digital Transformation and Applications (ICDXA 2021). Tunku Abdul Rahman University College, 2021. http://dx.doi.org/10.56453/icdxa.2021.1021.
Texto completo da fonteHeine, Alexandre A. P., Bruno Coutinho, Mariana Barreto, Nicholas Xavier, Marcos V. Villas, Arthur Ituassu e Sérgio Lifschitz. "Análise de Dados para Comunicação Política a partir de um Sistema de Coleta de Tweets". In Anais Estendidos do Simpósio Brasileiro de Banco de Dados. Sociedade Brasileira de Computação - SBC, 2021. http://dx.doi.org/10.5753/sbbd_estendido.2021.18162.
Texto completo da fonteBianchi, Annamaria, Camilla Salvatore e Silvia Biffignandi. "Communicating Corporate Social Responsibility through Twitter: a topic model analysis on selected companies". In CARMA 2020 - 3rd International Conference on Advanced Research Methods and Analytics. Valencia: Universitat Politècnica de València, 2020. http://dx.doi.org/10.4995/carma2020.2020.11646.
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