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dc.contributor.authorAppel, Orestesen
dc.contributor.authorChiclana, Franciscoen
dc.contributor.authorCarter, Jennyen
dc.contributor.authorFujita, Hamidoen
dc.date.accessioned2017-02-07T14:39:37Z
dc.date.available2017-02-07T14:39:37Z
dc.date.issued2017-01
dc.identifier.citationAppel, O., Chiclana, F., Carter, J. and Fujita, H. (2017) A consensus approach to the sentiment analysis problem driven by support-based IOWA majority. International Journal of Intelligent Systems, 32 (9), pp. 947-965en
dc.identifier.urihttp://hdl.handle.net/2086/13222
dc.description.abstractIn group decision-making there are many situations where the opinion of the majority of participants is critical. The scenarios could be multiple, like a number of doctors finding commonality on the diagnose of an illness or parliament members looking for consensus on an specific law being passed. In this article we present a method that utilises Induced Ordered Weighted Averaging (IOWA) operators to aggregate a majority opinion from a number of Sentiment Analysis (SA) classification systems, where the latter occupy the role usually taken by human decision-makers as typically seen in group decision situations. In this case, the numerical outputs of different SA classification methods are used as input to a specific IOWA operator that is semantically close to the fuzzy linguistic quantifier 'most of'. The object of the aggregation will be the intensity of the previously determined sentence polarity in such a way that the results represents what the majority think. During the experimental phase, the use of the IOWA operator coupled with the linguistic quantifier 'most' (IOWA_most) proved to yield superior results compared to those achieved when utilising other techniques commonly applied when some sort of averaging is needed, such as arithmetic mean or median techniques.en
dc.language.isoenen
dc.publisherJohn Wiley & Sons, Inc.en
dc.subjectSentiment Analysisen
dc.subjectHybrid Sentiment Analysis Methoden
dc.subjectNaïve Bayesen
dc.subjectMaximum Entropyen
dc.subjectConsensusen
dc.subjectMajority Supporten
dc.subjectSentiment Aggregationen
dc.subjectIOWAen
dc.titleA consensus approach to the sentiment analysis problem driven by support-based IOWA majorityen
dc.typeArticleen
dc.identifier.doihttp://dx.doi.org/10.1002/int.21878
dc.researchgroupCentre for Computational Intelligenceen
dc.peerreviewedYesen
dc.funderN/Aen
dc.projectidN/Aen
dc.cclicenceCC-BY-NC-NDen
dc.date.acceptance2017-01-04en


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