Sentiment Mining and Related Classifiers: A Review
Journal Title: IOSR Journals (IOSR Journal of Computer Engineering) - Year 2016, Vol 18, Issue 1
Abstract
Abstract: Brokers trading goods on the Web often seek for their customer’s reviews and feedbacks of their products and the associated services. With the growing popularity of e-commerce, the number of customer opinions that a product receives expands rapidly. This makes it difficult for both the customers as well as the manufacturers to extract an accurate decision or outcome regarding the product’s quality. This problem can be dealt easily by mining the characteristics of the product on which the customers have expressed their feedbacks and reviews. This paper covers all the fundamental details about opinion analysis. It comprises of current research and forthcoming scope of sentiment mining. Also the information regarding basic workflow of the opinion mining process, recent trends, and applications of sentiment analysis has been explained extraordinarily.
Authors and Affiliations
Rehee Mehta , Dr. Shaily Jain
Keywords
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