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Survey Paper | Computer Science & Engineering | India | Volume 4 Issue 11, November 2015

Trust Evaluation by Mining of E-commerce Feedback Comments

Priyanka Kumbhar | Manjushri Mahajan ^[3]

Abstract: In E-commerce applications trust and reputation are decisive factors in order to rate the sellers or products. Reputation Systems used in e-commerce have the main aim is to guide the users in a proper way so that they can choose between the different available sellers on E-commerce. In reputation system the models are meant to project the different sellers as per their services and quality they provide to users. Different Models differ between each other by the methods they opt to calculate the trustworthiness measure for different sellers. Review mining or Feedback mining method of trust calculation will be a very good idea as the users are free to express themselves in textual feedback comments. So here in our proposed work we have given a multidimensional trust model for computing reputation scores from user reviews. In order to perform this functionality we presented an algorithm for mining feedback comments for dimension ratings and weights. In this algorithm we are using techniques like NLP, Topic Modeling.

Keywords: E-commerce, Natural Language Processing, Ontology Language, Topic Modeling etc

Edition: Volume 4 Issue 11, November 2015,

Pages: 2095 - 2097

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