Downloads: 141 | Views: 267
Research Paper | Computer Science & Engineering | India | Volume 5 Issue 8, August 2016 | Popularity: 6.2 / 10
Product Reputation Analysis System Based on Partial Supervised Word Alignment Model
Nikita N. Khose, Prof. V. V. Dakhode
Abstract: As increase in web network there is also increase in social, commercial product services and user interest their review for the product. When user wants to buy some products from the web they put their reviews and rating to the products. For another user who buy the products for which the rating and review system is very helpful for both user and organization. The review contains product feature and rating because of this product popularity decides. Reputation system has ratings for the product analysis. If large number of rating is present then there may be unsure review of product. Hence proposed system used good reputation system having precise sentiment and opinion word and opinion target.
Keywords: Reputation system, Opinion mining, Opinion target, Opinion words
Edition: Volume 5 Issue 8, August 2016
Pages: 169 - 173
Make Sure to Disable the Pop-Up Blocker of Web Browser
Similar Articles
Downloads: 105
Survey Paper, Computer Science & Engineering, India, Volume 4 Issue 11, November 2015
Pages: 2095 - 2097Trust Evaluation by Mining of E-commerce Feedback Comments
Priyanka Kumbhar, Manjushri Mahajan
Downloads: 108
Survey Paper, Computer Science & Engineering, India, Volume 4 Issue 1, January 2015
Pages: 984 - 986Survey for Detecting Malicious user using Trust Evaluation and User Correlation for Protecting Online Reputation Systems
Vrushali G. Chabilwad, A. D. Gujar
Downloads: 113
Survey Paper, Computer Science & Engineering, India, Volume 5 Issue 7, July 2016
Pages: 1876 - 1878A Survey on CommTrust: Computing Multi-Dimensional Trust by Mining E-Commerce Feedback Comments
Swetha Sam, Vani V Prakash
Downloads: 152
Research Paper, Computer Science & Engineering, India, Volume 7 Issue 6, June 2018
Pages: 49 - 55Survey of Occluded Face Recognition Methods and Approaches
Navneet Kaur, Deepika Arora