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Hits 101 – 120 of 1.159

101
Looking for Razors and Needles in a Haystack: Multifaceted Analysis of Suicidal Declarations on Social Media—A Pragmalinguistic Approach
In: International Journal of Environmental Research and Public Health ; Volume 18 ; Issue 22 (2021)
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102
Can Live Streaming Save the Tourism Industry from a Pandemic? A Study of Social Media
In: ISPRS International Journal of Geo-Information ; Volume 10 ; Issue 9 (2021)
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103
A Survey on Sentiment Analysis and Opinion Mining in Greek Social Media
In: Information ; Volume 12 ; Issue 8 (2021)
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104
Information Extraction and Named Entity Recognition Supported Social Media Sentiment Analysis during the COVID-19 Pandemic
In: Applied Sciences ; Volume 11 ; Issue 22 (2021)
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105
Empathy Cultivation through (Pro)Social Media: A Counter to Compassion Fatigue
In: Journalism and Media; Volume 2; Issue 4; Pages: 819-829 (2021)
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106
How accurate are developers' emotions inferred from social media? ...
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107
How accurate are developers' emotions inferred from social media? ...
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108
Influencer detection in social media ; Détection des influenceurs dans des médias sociaux
Deturck, Kévin. - : HAL CCSD, 2021
In: https://tel.archives-ouvertes.fr/tel-03640442 ; Ordinateur et société [cs.CY]. Institut National des Langues et Civilisations Orientales- INALCO PARIS - LANGUES O', 2021. Français. ⟨NNT : 2021INAL0034⟩ (2021)
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109
#KeepOurLanguagesStrong: Indigenous Language Revitalization on Social Media during the Early COVID-19 Pandemic
Chew, Kari A. B.. - : University of Hawaii Press, 2021
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110
Generating health evidence from social media ; Extração de informação de saúde através das redes sociais
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111
Investigating Visual Content Shared over Twitter during the 2019 EU Parliamentary Election Campaign
In: Media and Communication ; 9 ; 1 ; 158-170 ; Dark Participation in Online Communication: The World of the Wicked Web (2021)
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112
Drawing impossible boundaries: field delineation of Social Network Science
In: Scientometrics ; 125 ; 3 ; 2841-2876 (2021)
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113
Conceptualization of a Queer Cyberspace: 'Gay Twitter'
In: FZG - Freiburger Zeitschrift für GeschlechterStudien ; 27 ; 1 ; 95-111 ; Digitalisierung (geschlechter-)gerecht gestalten (2021)
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114
Using sentiment analysis in tourism research: A systematic, bibliometric, and integrative review
In: Journal of Tourism, Heritage & Services Marketing ; 7 ; 2 ; 16-27 (2021)
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115
Incivility and Political Dissent: Multiple roles of aggressive speech in comments on Russian YouTube
In: Proceedings of the Weizenbaum Conference 2021 ; 4 ; Weizenbaum Conference 2021: Democracy in Flux – Order, Dynamics and Voices in Digital Public Spheres ; 3 (2021)
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116
Protest twittern: Eine medienlinguistische Untersuchung von Straßenprotesten
Dang-Anh, Mark. - : transcript Verlag, 2021. : DEU, 2021. : Bielefeld, 2021
In: 22 ; Locating Media / Situierte Medien ; 448 (2021)
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117
Instrumentierte Öffentlichkeit: Skizze für einen soziologischen Öffentlichkeitsbegriff
In: 1-2021 ; TUTS - Working Papers ; 34 (2021)
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118
Tweet Analytics for Political Position Estimation ; 12th IEEE International Conference on Cognitive Infocommuincations -- CogInfoCom2021
Vogel, Carl. - 2021
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
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
URL: http://people.tcd.ie/vogel
http://hdl.handle.net/2262/97346
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119
Essays on Representation Learning for Political Science Research
Wu, Patrick. - 2021
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120
A Multilingual Lexicon-based Approach for Sentiment Analysis in Social and Cultural Information System Data
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