Consensus in Sentiment Analysis

Orestes Appel, Francisco Chiclana, Jenny Carter, Hamido Fujita

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

Abstract

The objective of this chapter is to present a method applicable in group decision-making where computing the opinion of the majority of participants is key. In this article, we present a method that makes use of Induced Ordered Weighted Averaging (IOWA) operators to aggregate a majority opinion out of a number of Sentiment Analysis (SA) classification systems. The numerical output of each SA classification method is used as input to a carefully chosen IOWA operator that is semantically equivalent 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 represent what the majority thinks.
Original languageEnglish
Title of host publicationFuzzy Logic
Subtitle of host publicationRecent Applications and Developments
EditorsJenny Carter, Francisco Chiclana, Arjab Singh Khuman, Tianhua Chen
Place of PublicationCham
PublisherSpringer Nature Switzerland AG
Chapter3
Pages35-49
Number of pages15
Edition1
ISBN (Electronic)9783030664749
ISBN (Print)9783030664732, 9783030664763
DOIs
Publication statusPublished - 24 May 2021

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