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dc.contributor.authorChiclana, Franciscoen
dc.contributor.authorCarter, Jennyen
dc.contributor.authorAppel, Orestesen
dc.date.accessioned2015-03-17T17:07:53Z
dc.date.available2015-03-17T17:07:53Z
dc.date.issued2015
dc.identifier.citationAppel, O., Chiclana, F. and Carter, J. (2015) Main Concepts, State of the Art and Future Research Questions in Sentiment Analysis. Acta Polytechnica Hungarica. 12 (3), pp. 87-108en
dc.identifier.urihttp://hdl.handle.net/2086/10789
dc.description.abstractThis article has multiple objectives. First of all, the fundamental concepts and challenges of the research field known as Sentiment Analysis (SA) are presented. Secondly, a summary of a chronological account of the research performed in SA is provided as well as some bibliometric indicators that shed some light on the most frequently used techniques for addressing the central aspects of SA. The geographical locations of where the research took place are also given. In closing, it is argued that there is no hard evidence that fuzzy sets or hybrid approaches encompassing unsupervised learning, fuzzy sets and a solid psychological background of emotions could not be at least as effective as supervised learning techniques.en
dc.language.isoenen
dc.publisherÓbuda University, Bécsi út 96/B, H-1034 Budapest, Hungary.en
dc.subjectsentiment analysisen
dc.subjectopinion miningen
dc.subjectsocial mediaen
dc.subjectfuzzy setsen
dc.subjectsupervised learningen
dc.subjectunsupervised learningen
dc.titleMain Concepts, State of the Art and Future Research Questions in Sentiment Analysis.en
dc.typeArticleen
dc.identifier.doihttps://doi.org/10.12700/aph.12.3.2015.3.6
dc.researchgroupCentre for Computational Intelligenceen
dc.peerreviewedYesen
dc.funderN/Aen
dc.projectidN/Aen


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