SENTIMENT ANALYSIS ON ONLINE PRODUCT REVIEWS

Authors

  • Sayali Pednekar B.E. Student of Computer Engineering Atharva College of Engineering, Mumbai University Mumbai, MH, India
  • Komal Patil B.E. Student of Computer Engineering Atharva College of Engineering, Mumbai University Mumbai, MH, India

Keywords:

Sentiment analysis, product reviews, opinion mining, feature score

Abstract

In today’s e-commerce world sentiment analysis is salient and the most crucial step because it captures the product users opinion, feelings and belief regarding the respective product specially to determine whether the users attitude is positive, negative, or neutral .This analysis greatly helps the companies to make necessary changes in their product which in return can overcome the flaws that the product is facing and target to a better customer satisfaction.

References

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“Feature and opinion mining for customer review summarization,” in Proceedings of the 3rd International Conference on Pattern Recognition and Machine Intelligence (Premi ‘09), by M. A. Jahiruddin, M. N. Doja, and T. Ahmad, vol. 5909 of Lecture Notes in Computer Science, pp. 219–224, 2009.

S. Huang, X. Liu, X. Peng, and Z. Niu, “Fine-grained product features extraction and categorization in reviews opinion mining,” in Proceedings of the 12th IEEE International Conference on Data Mining Workshops (ICDMW’12), pp. 680–686, 2012.

A. Martina, S. Famitha,V.Anithalaskhmi,”Multiple Aspect Ranking using Sentimentclassification”in IJERT, ISSN 2278-0181

www.wikipedia.

Additional Files

Published

15-03-2017

How to Cite

Sayali Pednekar, & Komal Patil. (2017). SENTIMENT ANALYSIS ON ONLINE PRODUCT REVIEWS . International Education and Research Journal (IERJ), 3(3). Retrieved from https://ierj.in/journal/index.php/ierj/article/view/733