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Harvesting opinions in Twitter for sentiment analysis

2018-06Comunicação em conferência Acesso aberto
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dc.contributor.authorGuevara, Juan
dc.contributor.authorCosta, Joana
dc.contributor.authorArroba, Jorge
dc.contributor.authorSilva, Catarina
dc.date.accessioned2025-07-14T10:28:01Z
dc.date.available2025-07-14T10:28:01Z
dc.date.issued2018-06
dc.description.abstractSentiment analysis is a very popular technique for social network analysis. One of the most popular social networks for microblogging that has a great growth is Twitter, which allows people to express their opinions using short, simple sentences. These texts are generated daily, and for this reason it is common for people to want to know which are the trending topics and their drifts. In this paper we propose to deploy a mobile app that provides information focusing on areas, such as, Politics, Social, Tourism, and Marketing using a statistical lexicon approach. The application shows the polarity of each theme as positive, negative, or neutral.eng
dc.identifier.citationJ. Guevara, J. Costa, J. Arroba and C. Silva, "Harvesting opinions in Twitter for sentiment analysis," 2018 13th Iberian Conference on Information Systems and Technologies (CISTI), Caceres, Spain, 2018, pp. 1-7, doi: 10.23919/CISTI.2018.8399226.
dc.identifier.doi10.23919/cisti.2018.8399226
dc.identifier.urihttp://hdl.handle.net/10400.8/13618
dc.language.isoeng
dc.peerreviewedn/a
dc.publisherIEEE
dc.relation.hasversionhttps://ieeexplore.ieee.org/document/8399226
dc.relation.ispartof2018 13th Iberian Conference on Information Systems and Technologies (CISTI)
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectKeywords – Sentiment Analysis
dc.subjectTwitter
dc.subjectLexicon
dc.titleHarvesting opinions in Twitter for sentiment analysiseng
dc.typeconference paper
dspace.entity.typePublication
oaire.citation.conferenceDate2018-06
oaire.citation.conferencePlaceCaceres
oaire.citation.title2018 13th Iberian Conference on Information Systems and Technologies (CISTI)
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85

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