A Novel Approach for Sentiment Analysis and Optimization Using PSO

Abstract

Opinion Analysis is the premise of all the business for offering better quality types of assistance and furthermore to improve the nature of administrations with the assessment of the input. The proposed work aims of the sentiment analysis with the optimization for the examination process of feature selection with the senti-lexicon approach. The approach which we followed for the sentiment examination is based on the Senti-Lexicon approach, in which we have created with individual files for the examination of the positive, negative words, emotions and more. Together with that, the emphasis is over the examination of the intensifiers, negations etc. The key feature of the approach is that, the files are flexible so the dictionary or the datasets which are used for the polarity examination can be extended to any extent. The PSO based optimization will helps us to quickly identify the sub-feature to which category the review belongs and overall optimize the approach than other available methods.