Publication Type : Conference Paper
Publisher : Springer Link
Source : Advances in Intelligent Systems and Computing
Url : https://link.springer.com/chapter/10.1007/978-981-13-5934-7_30?trk=public_profile_project-title
Campus : Amritapuri
School : School of Computing
Year : 2019
Abstract : An integral part of human behavior has always been to find out what others think about what would happen next. With the ongoing trend of e-commerce websites and personal blogs, people make active use of various technologies to understand and classify opinions. This paper introduces a new system to understand the emotions and feelings underlying the reviews provided by users on various e-commerce websites. This system holds an edge over the current rating system of star values by providing the users with a more precise and descriptive result. The main disadvantage of the star system is that it does not provide enough choice to the user. The methodology mentioned in this paper, named ARAS or Automated Review Analyzing System, overcomes this issue by using sentiment analysis which feeds upon each word in the review rather than a separate weighing system.
Cite this Research Publication : Jishag, A.C., Rakhesh, V., Mohan, S., Vinayak Varma, N., Shabu, V.,Lekshmi S Nair, Menon, M.”Automated Review Analysing Systems Using Sentiment Analysis”,Advances in Intelligent Systems and Computing Volume 904,2019,Pages 329-338