Opinion and Review Based Sentiment Analysis (ORSA) using Deep Learning (DL)

Madhavi Katamaneni, Naushad Varish

Opinion and review based sentiment analysis is done on various data which is used to find out the sentiments and opinions of the different kinds of people on the particular product or any item. Many companies are trying to collect the opinions of the people and make some changes in the product or any item development and release the item into the market. Based on the opinions of various types of people the rating of the product can be calculated. This is also used for the opinions and reviews on the latest released movies, products and any other E-commerce websites about their service providing. In this paper, ORSA is used to find the originality of the reviews and analyzed the Sentiment Analysis (SA) on various user opinions. The synthetic E-Commerce data is used to find the SA and opinion of the every user. Results show the performance of the ORSA.

Volume 12 | Issue 6

Pages: 57-62

DOI: 10.5373/JARDCS/V12I6/S20201007