G
Georgios Paltoglou
Researcher at University of Wolverhampton
Publications - 51
Citations - 5088
Georgios Paltoglou is an academic researcher from University of Wolverhampton. The author has contributed to research in topics: Sentiment analysis & Relevance (information retrieval). The author has an hindex of 19, co-authored 51 publications receiving 4768 citations. Previous affiliations of Georgios Paltoglou include École Polytechnique Fédérale de Lausanne & University of Macedonia.
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Sentiment in short strength detection informal text
TL;DR: SentiStrength as discussed by the authors is able to predict positive emotion with 60.6p accuracy and negative emotion with 72.8p accuracy, both based upon strength scales of 1-5.
Journal ArticleDOI
Sentiment strength detection for the social web
TL;DR: An improved version of the algorithm SentiStrength for sentiment strength detection across the social web that primarily uses direct indications of sentiment is assessed, suggesting that, even unsupervised, Senti strength is robust enough to be applied to a wide variety of different social web contexts.
Journal ArticleDOI
Sentiment in Twitter events
TL;DR: A study of a month of English Twitter posts is reported, assessing whether popular events are typically associated with increases in sentiment strength, as seems intuitively likely and using the top 30 events as a measure of relative increase in (general) term usage.
Proceedings Article
A Study of Information Retrieval Weighting Schemes for Sentiment Analysis
Georgios Paltoglou,Mike Thelwall +1 more
TL;DR: It is shown that variants of the classic tf.idf scheme adapted to sentiment analysis provide significant increases in accuracy, especially when using a sublinear function for term frequency weights and document frequency smoothing.
Journal ArticleDOI
Collective emotions online and their influence on community life.
Anna Chmiel,Julian Sienkiewicz,Mike Thelwall,Georgios Paltoglou,Kevan Buckley,Arvid Kappas,Janusz A. Hołyst +6 more
TL;DR: The results prove that collective emotional states can be created and modulated via Internet communication and that emotional expressiveness is the fuel that sustains some e-communities.