E-commerce Product Analysis Using Sentimental Analysis

Authors

  • P Rathee Department of Information Technology, MSIT, Janakpuri, Delhi, India

DOI:

https://doi.org/10.26438/ijcse/v7i12.110114

Keywords:

Login, API, Rating System

Abstract

Electronic commerce is a way of trading in different types of products, gadgets and services. It offers a wide variety of people’s comments and opinions. Sentimental analysis also known as opinion mining is a method of understanding people’s attitudes, sentiments, feelings expressed in those written comments. This is an e-commerce web application tackles with sentence level sentimental analysis which fetches and classify the polarity of reviews as positive, negative and neutral. All those reviews are ranked based on this polarity that helps the user to make a smart choice among good, bad and worst products. This aims to reduce the time and effort of the user in searching for specific product on e-commerce website.

References

[1] S.Ullah, T.Alauddin, H. Zaman, “Developing an E-commerce website”, Microelectronics, Computing and Communications (MicroCom),2016 International Conference on 23-25 Jan. 2016

[2] D. Jayvant, P. Sunita “,” Product Review By Sentiment Analysis”, International Journal Of Engineering And Computer Science ISSN:2319-7242 Volume 3 Issue 5 may, Page No. 6202-6205 2014

[3] X. Fang , J. Zhan, “Sentiment analysis using product review data”, Journal of Big Data (2015) 2:5 DOI 10.1186/s40537-015-0015-2

[4] A. Kumar,T.M.Sebastian, “Sentiment Analysis on Twitter”, IJCSI International Journal of Computer Science Issues, Vol. 9, Issue 4, No 3, July 2012 ISSN (Online): 1694-0814,2012.

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Published

2019-12-31
CITATION
DOI: 10.26438/ijcse/v7i12.110114
Published: 2019-12-31

How to Cite

[1]
R. P, “E-commerce Product Analysis Using Sentimental Analysis”, Int. J. Comp. Sci. Eng., vol. 7, no. 12, pp. 110–114, Dec. 2019.

Issue

Vol. 7 No. 12 (2019): IJCSE December Edition

Section

Survey Article

License

Creative Commons License

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