Differentiating users by language and location estimation in sentiment analisys of informal text during major public events

•Novel method to assess social media users engagement during public global events.•Method considers three dimensions: location, time and sentiment analysis.•Unsupervised SA strategy based on semantic dependencies with propagation.•Novel language-agnostic network-oriented location approach without as...

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Bibliographic Details
Published in:Expert systems with applications 2019-03, Vol.117, p.15-28
Main Authors: Fernández-Gavilanes, Milagros, Juncal-Martínez, Jonathan, García-Méndez, Silvia, Costa-Montenegro, Enrique, Javier González-Castaño, Francisco
Format: Article
Language:English
Subjects:
Artificial intelligence
Data mining
Digital media
Expert systems
Knowledge acquisition
Language
nlp
Opinion mining
Orthography
Sentiment analysis
Social media
Social networks
Spatio-temporal analysis
User location
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Summary:•Novel method to assess social media users engagement during public global events.•Method considers three dimensions: location, time and sentiment analysis.•Unsupervised SA strategy based on semantic dependencies with propagation.•Novel language-agnostic network-oriented location approach without assumptions.•Coherent with disposition theory of individual users to players and group belonging. In recent years there has been intense work on the analysis of social media to support marketing campaigns. A proper methodology for sentiment analysis is a crucial asset in this regard. However, when monitoring major public events the behaviour or social media users may be strongly biased by punctual actions of the participating characters and the sense of group belonging, which is typically linked to specific geographical areas. In this paper, we present a solution combining a location prediction methodology with an unsupervised technique for sentiment analysis to assess automatically the engagement of social network users in different countries during an event with worldwide impact. As far as the authors know, this is the first time such techniques are jointly considered. We demonstrate that the technique is coherent with the intrinsic disposition of individual users to typical actions of the characters participating in the events, as well as with the sense of group belonging.
ISSN:0957-4174
1873-6793
DOI:10.1016/j.eswa.2018.09.007