Auswahl der wissenschaftlichen Literatur zum Thema „Twitter corpora“
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Zeitschriftenartikel zum Thema "Twitter corpora"
Aditya Prakash. „Twitter Sentimental Analysis“. International Journal for Modern Trends in Science and Technology 6, Nr. 12 (18.12.2020): 355–59. http://dx.doi.org/10.46501/ijmtst061266.
Der volle Inhalt der QuelleDanielewicz-Betz, A., H. Kaneda, M. Mozgovoy und M. Purgina. „Creating English and Japanese Twitter Corpora for Emotion Analysis“. International Journal of Knowledge Engineering-IACSIT 1, Nr. 2 (2015): 120–24. http://dx.doi.org/10.7763/ijke.2015.v1.20.
Der volle Inhalt der QuelleHu, Yuheng, Kartik Talamadupula und Subbarao Kambhampati. „Dude, srsly?: The Surprisingly Formal Nature of Twitter's Language“. Proceedings of the International AAAI Conference on Web and Social Media 7, Nr. 1 (03.08.2021): 244–53. http://dx.doi.org/10.1609/icwsm.v7i1.14443.
Der volle Inhalt der QuelleSifianou, Maria. „Conceptualizing politeness in Greek: Evidence from Twitter corpora“. Journal of Pragmatics 86 (September 2015): 25–30. http://dx.doi.org/10.1016/j.pragma.2015.05.019.
Der volle Inhalt der QuelleLing, Wang, Luís Marujo, Chris Dyer, Alan W. Black und Isabel Trancoso. „Mining Parallel Corpora from Sina Weibo and Twitter“. Computational Linguistics 42, Nr. 2 (Juni 2016): 307–43. http://dx.doi.org/10.1162/coli_a_00249.
Der volle Inhalt der QuelleLiu, Xuan, Guohui Zhou, Minghui Kong, Zhengtong Yin, Xiaolu Li, Lirong Yin und Wenfeng Zheng. „Developing Multi-Labelled Corpus of Twitter Short Texts: A Semi-Automatic Method“. Systems 11, Nr. 8 (01.08.2023): 390. http://dx.doi.org/10.3390/systems11080390.
Der volle Inhalt der QuelleBokányi, Eszter, Dániel Kondor und Gábor Vattay. „Scaling in words on Twitter“. Royal Society Open Science 6, Nr. 10 (Oktober 2019): 190027. http://dx.doi.org/10.1098/rsos.190027.
Der volle Inhalt der QuelleYadav, Madan Lal, Anurag Dugar und Kuldeep Baishya. „Decoding Customer Opinion for Products or Brands Using Social Media Analytics“. International Journal of Intelligent Information Technologies 18, Nr. 2 (April 2022): 1–20. http://dx.doi.org/10.4018/ijiit.296271.
Der volle Inhalt der QuelleGonzález 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 (15.07.2019): 107–22. http://dx.doi.org/10.21071/skopos.v9i0.12144.
Der volle Inhalt der QuelleAbdalla, Mohamed, Magnus Sahlgren und Graeme Hirst. „Enriching Word Embeddings with a Regressor Instead of Labeled Corpora“. Proceedings of the AAAI Conference on Artificial Intelligence 33 (17.07.2019): 6188–95. http://dx.doi.org/10.1609/aaai.v33i01.33016188.
Der volle Inhalt der QuelleDissertationen zum Thema "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.
Der volle Inhalt der QuelleThis 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.
Der volle Inhalt der QuelleStephan, David Paul. „Just Tweet It: Sports Teams' Communication of CSR on Twitter“. BYU ScholarsArchive, 2016. https://scholarsarchive.byu.edu/etd/6082.
Der volle Inhalt der QuelleGionchetti, 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.
Der volle Inhalt der QuelleMiletic, 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.
Der volle Inhalt der QuelleThis 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.
Der volle Inhalt der QuelleКороткіх, С. Г. „Корпоративний твіттер як стимулючий засіб привернення уваги до бренду“. Thesis, Сумський державний університет, 2014. http://essuir.sumdu.edu.ua/handle/123456789/38362.
Der volle Inhalt der QuelleÅstrand, Adam, und 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.
Der volle Inhalt der QuelleAmozegar, 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.
Der volle Inhalt der QuelleDavis, 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.
Der volle Inhalt der QuelleMaster 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.
Bücher zum Thema "Twitter corpora"
Coats, Steven, und Veronika Laippala. Linguistics across Disciplinary Borders. Bloomsbury Publishing Plc, 2024. http://dx.doi.org/10.5040/9781350362291.
Der volle Inhalt der QuelleHatching Twitter: A True Story of Money, Power, Friendship, and Betrayal. New York, USA: Portfolio Hardcover, 2013.
Den vollen Inhalt der Quelle findenTereszkiewicz, Anna. Customer Encounters on Twitter: A Study of Positive Evaluation and Complaint Management on English Corporate Profiles. Jagiellonian University, 2020.
Den vollen Inhalt der Quelle findenBilton, Nick. Hatching Twitter: A True Story of Money, Power, Friendship, and Betrayal. Penguin Publishing Group, 2014.
Den vollen Inhalt der Quelle findenBilton, Nick. Hatching Twitter: A True Story of Money, Power, Friendship, and Betrayal. Hodder & Stoughton, 2014.
Den vollen Inhalt der Quelle findenLondon, Ian. Hollywood Online. Bloomsbury Publishing Inc, 2024. http://dx.doi.org/10.5040/9781501337789.
Der volle Inhalt der QuelleAnderson, C. W., Leonard Downie und Michael Schudson. The News Media. Oxford University Press, 2017. http://dx.doi.org/10.1093/wentk/9780190206192.001.0001.
Der volle Inhalt der QuelleBuchteile zum Thema "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.
Der volle Inhalt der QuelleBaker, Paul, und 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.
Der volle Inhalt der QuelleBazo, Alexander, Manuel Burghardt und 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.
Der volle Inhalt der QuelleTapia, Pablo A., und 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.
Der volle Inhalt der QuelleAlmström 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.
Der volle Inhalt der QuelleTontodimamma, Alice, Stefano Anzani, Marco Antonio Stranisci, Valerio Basile, Elisa Ignazzi und 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.
Der volle Inhalt der QuelleAdi, 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.
Der volle Inhalt der QuelleAdi, 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.
Der volle Inhalt der QuelleFarache, Francisca, Isobel Tetchner und 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.
Der volle Inhalt der QuelleLoke, R. E., und 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.
Der volle Inhalt der QuelleKonferenzberichte zum Thema "Twitter corpora"
Hajjem, Malek, Chiraz Latiri und 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.
Der volle Inhalt der QuelleVilares, David, Miguel A. Alonso und 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.
Der volle Inhalt der QuelleTan, Luchen, Haotian Zhang, Charles Clarke und 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.
Der volle Inhalt der QuelleDi Giovanni, Marco, und 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.
Der volle Inhalt der QuelleTyshchenko, 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.
Der volle Inhalt der QuelleSwamy, Steve Durairaj, Anupam Jamatia, Björn Gambäck und 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.
Der volle Inhalt der QuelleMoyo, Tabani, Cecile Gerwel Proches, Emmanuel Mutambara und 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.
Der volle Inhalt der QuelleTan, Wai Beng, und 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.
Der volle Inhalt der QuelleHeine, Alexandre A. P., Bruno Coutinho, Mariana Barreto, Nicholas Xavier, Marcos V. Villas, Arthur Ituassu und 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.
Der volle Inhalt der QuelleBianchi, Annamaria, Camilla Salvatore und 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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