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Phonology as a tool for Global Englishes Language Teacher Education (published as a book chapter 10.4324/9781003082712-41) ...
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How do individuals perform intercultural communication? ...
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How do individuals perform intercultural communication? ...
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Metaphorik der Digitalität: Über den Nicht-Erklärungswert etablierter Begrifflichkeiten zur Beschreibung der Online- Kommunikation
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In: 16 (2021)
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Using sentiment analysis in tourism research: A systematic, bibliometric, and integrative review
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In: Journal of Tourism, Heritage & Services Marketing ; 7 ; 2 ; 16-27 (2021)
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Tools and Techniques Used in the Language of Advertisements: The Linguistic Perspective
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In: Media Watch ; 11 ; 3 ; 565-580 (2021)
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Digital Media and Textuality: From Creation to Archiving
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In: 45 ; Medienumbrüche ; 284 (2021)
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Rhetorical Visions of Fulani-Herdsmen Conflict in the Nigerian Press: A Fantasy Theme Analysis
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In: Media Watch ; 11 ; 1 ; 67-82 (2021)
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Tweet Analytics for Political Position Estimation ; 12th IEEE International Conference on Cognitive Infocommuincations -- CogInfoCom2021
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Abstract:
PUBLISHED ; An increasingly popular method of predicting trends and forecasting voting outcomes is to create a prediction model based on alignment of publicly available social media content produced by voters with voting behaviours. This paper aims to analyse whether Twitter data extracted from local Dublin City Council members’ Twitter accounts in comparison with corresponding Councillor and Motion data from the Council- Tracker.ie website can be interpreted and used to create a model to predict the voting outcome of local Dublin City Council votes to pass motions. The aim was to explore whether through utilising machine learning techniques along with natural language processing techniques, reliable and data driven predictions can be generated for policy-making proposals brought forward. The acquired experimental results suggest that the approach used was marginally adequate in supporting the proposed hypothesis, although some interesting results were derived. Of the models analysed the Decision Tree model produced the most accurate results with an accuracy score of 0.71 (baseline: 0.63). Analysis of the models and an ablation study showed that the features derived from tweet texts and motion texts along with overall properties of a Councillor’s twitter account were the most powerful indicators. The behaviour of a tweet, such as its acquired number of favorites or retweets, were not indicative of the results in both the random forest model and decision tree model
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Keyword:
Computational Linguistics; Digital Humanities; Dublin City Council; Early adopters; Google+; Influence; Information; Personality traits; Political Behavior; Political Behaviour; Political Methodology; Political Psychology; political science; Politics; Rumor; Social media; Social networks; text analytics; Twitter
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URL: http://people.tcd.ie/vogel http://hdl.handle.net/2262/97346
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Destructive Storytelling: Disinformation and the Eurosceptic Myth that Shaped Brexit
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Russia’s Futures, from Fairy Tales and Editorials to Kremlin Narratives: Prokhanov, Dugin, Surkov
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30 Years after the Breakup of the USSR: Russia and Post-Soviet Europe, Narratives and Perceptions
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30 Years after the Breakup of the USSR: Russia and Post-Soviet Europe, Narratives and Perceptions. Special Issue Introduction
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Конфликтная и кооперативная стратегии во французском миграционном медиадискурсе ; Conflict and Cooperative Strategies in French Migration Media Discourse
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Стратегии и тактики французского миграционного медиадискурса : магистерская диссертация ; Conflict and cooperative strategies in french migration media discourse
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Cover Page, Table of Contents, Editorial and Contributor Biographies
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In: Animal Studies Journal (2021)
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