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AuthorShaikh, Samira
AuthorFeldman, Laurie Beth
AuthorBarach, Eliza
AuthorMarzouki, Yousri
Available date2020-08-18T06:33:52Z
Publication Date2017
Publication NameAdvances in Intelligent Systems and Computing
ResourceScopus
ISBN9783319416359
ISBN9783319416366
ISSN21945357
URIhttp://dx.doi.org/10.1007/978-3-319-41636-6_28
URIhttp://hdl.handle.net/10576/15542
AbstractWe describe the emergence of an online community from naturally occurring social media data. Our method uses patterns of word choice in an online social platform to characterize how a community forms in response to adverse events such as a terrorist attack. Our focus is English Twitter messages after the Charlie Hebdo terrorist attack in Paris in January 2015). We examined the text to find lexical variation associated with measures of valence, arousal and concreteness. We also examine the patterns of language use of the most prolific twitter users (top 2% by number of tweets) and the most frequent tweets in our collection (top 2% by number of retweets). Differences between users and tweets based on frequency are revealing about how lexical variation in tweeting behavior reflects evolution of a community in reaction to crisis events on an international scale.
Languageen
PublisherSpringer Verlag
SubjectBig data
Human factors
Natural language
Sentiment analysis
Social media
TitleTweet sentiment analysis with pronoun choice reveals online community dynamics in response to crisis events
TypeConference Paper
Pagination345-356
Volume Number480
dc.accessType Abstract Only


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