Sentiment Features based Analysis of Online Reviews
Journal Title: IOSR Journals (IOSR Journal of Computer Engineering) - Year 2015, Vol 17, Issue 3
Abstract
Abstract : Sentiment Analysis (SA) and Summarization is a new and emerging field of research which dealswith information extraction and knowledge discovery from text using Natural Language Processing and DataMining technique, which help to track the mood of public about specific products and social or political event.Sentiments of individuals are extremely useful for people and company owner for making several decisions.However decision based upon some of the online review among the large set of review are not very easy forclassifying the sentiment. This report introduce new Hybrid Polarity Detection System for SA of short informaltext i.e. Twitter post to compare with state-of-art method which used as analysis of Sentiment Summarization.Additionally proposed Hybrid Polarity Detection System derives high performance with new set of features
Authors and Affiliations
Dharmesh Ramani , Hazari Prasun
Keywords
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