Abstract
Conference Title: 2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) Conference Start Date: 2017, July 9 Conference End Date: 2017, July 12 Conference Location: Naples, Italy In the Sentiment Analysis area, several Sentiment Analysis Methods are able to extract different polarities (positivity, neutrality and negativity) from written text, although neutrality is not usually considered because it is perceived as an insightfulness polarity. As it is known, the vote of majority has a high impact in decision making. We propose the use of Induced Ordered Weighted Averaging operators based on fuzzy majority for aggregating polarities from several Sentiment Analysis Methods. The main contribution of this work is to set neutrality on opinions guided by fuzzy majority. We aim to improve classification results by removing those neutral reviews labelled by a consensus of a collection.