SAMIKSHA - Sentiment Based Product Review Analysis System

详细信息    查看全文

• 作者：Aarti Potdar^a ; ^{potdaraarti94@gmail.com" class="auth_mail" title="E-mail the corresponding author} ; Pranav Patil^a ; Raunak Bagla^a ; Rohitashwa Pandey^a ; Nagesh Jadhav ; Prof.^b
• 关键词：NLP ; Parser ; Preprocessing ; Relation Extraction ; Feature Extraction.
• 刊名：Procedia Computer Science
• 出版年：2016
• 出版时间：2016
• 年：2016
• 卷：78
• 期：Complete
• 页码：513-520
• 全文大小：287 K

文摘

As the technology is advancing, everything is getting more digital and automated. Today, we can buy everything on e-commerce websites and get it delivered without visiting the stores. From a screw driver to a high performance motor, there is hardly anything that we cannot find on e-commerce websites. But judging a product just by its pictures and reviews is a difficult and requires a thorough analysis. For a given product there are tens of thousands of reviews. To analyze all these reviews and to make a decision is atiresome task. To make the task easier for the buyers we are proposing “Samiksha”, a review bot which will generate a factual summarization of all the user reviews. The proposed software will produce an average numerical rating of all the specific features of the particular product to help the buyer get a detailed overview of the product. Thus Samiksha will prove to be convenient medium of analyzing all the reviews and be beneficial to the buyers on e-commerce websites. Keeping that in mind, security and privacy of the users should not be hindered.