Abstract
Sentiment Analysis, also known as Opinion Mining, is the systematic identification, extraction, quantification, and study of affective states and subjective information using natural language processing and text analysis. For applications ranging from marketing to customer service, sentiment analysis is commonly used on reviews and survey answers, online and social media, and healthcare materials.The aim of this study is to determine the accuracy of the various algorithms for sentiment analysis of product reviews. For this study, 4,444 online product reviews were received from an e-commerce site.
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