Web Application for Sentiment Analysis Using Supervised Machine Learning

Provided by: Science & Engineering Research Support soCiety (SERSC)
Topic: Enterprise Software
Format: PDF
Sentiment analysis is now in focus of companies to extract information from customers' reviews. Usually the analysis classification is positive, negative and neutral. In this paper, the authors focus on the reviews for electronic products. The demographic and technical expertise level of consumers and reviewers are diverse hence there is difference in the way they review a product. Some review contains technical solutions, improvised ways of tackling problems, frustrations, joy, etc. These differences in review calls for a wider classification scheme to contain these differences

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