Consensus in Sentiment Analysis

Orestes Appel; Francisco Chiclana; Jenny Carter; Hamido Fujita

doi:10.1007/978-3-030-66474-9_3

Consensus in Sentiment Analysis

Orestes Appel, Francisco Chiclana, Jenny Carter, Hamido Fujita

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

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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 language	English
Title of host publication	Fuzzy Logic
Subtitle of host publication	Recent Applications and Developments
Editors	Jenny Carter, Francisco Chiclana, Arjab Singh Khuman, Tianhua Chen
Place of Publication	Cham
Publisher	Springer Nature Switzerland AG
Chapter	3
Pages	35-49
Number of pages	15
Edition	1
ISBN (Electronic)	9783030664749
ISBN (Print)	9783030664732, 9783030664763
DOIs	https://doi.org/10.1007/978-3-030-66474-9_3
Publication status	Published - 24 May 2021

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Consensus in Sentiment Analysis

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