An Approach To Sentiment Analysis Using Lexicons With Comparative Analysis of Different Techniques
Journal Title: IOSR Journals (IOSR Journal of Computer Engineering) - Year 2016, Vol 18, Issue 3
Abstract
Abstract : The World Wide Web is growing at an astonishing rate. This has resulted in enormous increase in online communication. The online communication data consist of feedback, comments and reviews that are posted on internet by internet users. To analyze such opinionated data sentiment analysis is required. Sentiment analysis is a natural language processing technique which classifies the data into positive, negative and neutral. This paper proposes a framework for sentiment analysis using dictionary-based approach and brings out a comparative study on sentiment analysis techniques including machine learning technique and lexicon based technique. The comparisons are majorly drawn based on features such as preprocessing, technique employed, dictionary, datasets, and soft-computing approaches. An approach to sentiment analysis using dictionary-basedapproach incorporating fuzzy logic is proposed.
Authors and Affiliations
Tanvi Hardeniya , D. A. Borikar
Keywords
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