Analysis of Papers Based on Sentiment Analysis Applications on E-Commerce Data

Sentiment Analysis is the computational treatment of opinions, sentiments and subjectivity of text and use them for the benefit of the business operations. This survey paper tackles a comprehensive overview of various sentiment analysis applications related to E-commerce data and includes analysis of related papers from 2008 to 2020. This paper gives overall idea about various data pre-processing techniques, Sentiment Analysis algorithms, its accuracy, further improvements and other related details of each referred applications used, as literature survey in the area of E-commerce. The main contributions of this paper include comprehensive analysis of many relevant E-commerce articles, illustration of data pre-processing techniques and the illustration of the recent trend of research in the sentimental Analysis and related areas.