User Suggestions Extraction from customer Reviews

Journal Title: International Journal on Computer Science and Engineering - Year 2011, Vol 3, Issue 3

Abstract

Customer review is a major criterion for the improvement of the quality of services rendered and enhancement of the deliverables. Blogs, articles and discussion forums, provide manufacturers or sellers with a good understanding of the reception level of their products in the competitive market. An interesting area from the business analysis perspective, this paper discusses an opinion based mining technique for the extraction of the relevant data using Natural Language Processing and text analysis, and comprehends suggestions from an actionable feedback.

Authors and Affiliations

Vishwanath. J , Aishwarya. S

Keywords

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  • EP ID EP124274
  • DOI -
  • Views 123
  • Downloads 0

How To Cite

Vishwanath. J, Aishwarya. S (2011). User Suggestions Extraction from customer Reviews. International Journal on Computer Science and Engineering, 3(3), 1203-1206. https://europub.co.uk./articles/-A-124274