Aspect Based Sentimental Analysis for Reviews on E-Commerce Platform for Business Improvisation

Authors

  • Shraddha H. Ingle  M. E. Scholar, Department of Computer Science and Engineering, P. R. Patil College of Engineering and Technology, Amravati, Maharashtra, India
  • Prof. Mayur S. Burange  Assistant Professor, Department of Computer Science and Engineering, P. R. Pote (Patil) College of Engineering and Technology, Amravati, Maharashtra, India
  • Dr. Ajay B. Gadicha  Head of Department, Department of Computer Science and Engineering, P.R. Pote (Patil) College of Engineering and Technology, Amravati, Maharashtra, India

Keywords:

Sentimental Analysis, Aspect Based Sentiment Analysis, Naive Byes algorithm

Abstract

As day-by-day large amount of data has been generating on digital platform, using this data provided by customers from all over the world which gives a positive hope for product manufacturer to make their product more consumer friendly and make consumer happy to buy it. When customer provide their opinion on any social media or e- commerce site their personal views on products may affect the way of looking towards product quality of the other customers. Sentiment analysis is a way to help product manufacturer to know about customer’s opinion about the product. If some customer wants to know only about some feature of product, then aspect based sentimental analysis is the way to help those customers. Reviews is the one of the important type of data which is available in the form of reviews on various platform, here we take reviews from E-commerce platform to perform aspect-based sentiment analysis for products so that manufacturer will be able to take appropriate decision and provide customer suitable recommendation for products on the basis of reviews analytics.

References

  1. D. Mali, M. Abhyankar, P. Bhavarathi, K. Gaidhar, M.Bangare International Journal of Management and Applied Science, ISSN: 2394-7926 Volume-2, Issue-1, Jan.-2016
  2. Magesh Gopu, International Journal of Civil Engineering and Technology , International Journal of Civil Engineering and Technology (IJCIET),Volume 8, Issue 10, October 2017
  3. Duc-Hong Pham , Anh-Cuong Le, 2018, Data & Knowledge Engineering(2018)
  4. Anvar Shathik J. & Krishna Prasad K. ,2020,International Journal of Applied Engineering and Management Letters (IJAEML), ISSN: 2581-7000, Vol. 4, No. 2, August 2020.
  5. Wenhao Zhang, Hua Xu , Wei Wan ,2012Expert Systems with Applications 39 (2012)
  6. Fu Xianghua , Liu Guo, Guo Yanyan, Wang Zhiqiang, ,2013,Knowledge-Based Systems 37 (2013)

IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2021-06-30

Issue

Volume 8, Issue 4, May-June-2021

Section

Research Articles

License

Copyright (c) IJSRCSEIT

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Shraddha H. Ingle, Prof. Mayur S. Burange, Dr. Ajay B. Gadicha, " Aspect Based Sentimental Analysis for Reviews on E-Commerce Platform for Business Improvisation" International Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 8, Issue 4, pp.106-109, May-June-2021.