Semantic and fuzzy aspects of opinion mining

Abstract

In recent years the amount of opinions and reviews available on the web has grown tremendously and therefore the role of sentiment analysis is even more crucial than before. Given the very ambiguous and imprecise nature of sentiments and of their expressions, this study focuses on the review of semantic and fuzzy aspects of opinion mining. Opinions are fuzzy in nature and dealing with the semantic part of the expressed sentiments possesses many challenges and require effective techniques to properly extract and summarize people's views. Previous studies have often reflected that the use of fuzzy logic techniques have proved to be beneficial in mining reviews. This paper presents a review covering the semantic and Fuzzybased logic techniques and methods in sentiment analysis and challenges appear in the field.