Sentiment Analysis of Application Reviews On Google Playstore

Authors

  • Sangeeta Panigrahi  Department of Information Technology, Mumbai University, Mumbai, Maharashtra, India
  • Saarim Momin  Department of Information Technology, Mumbai University, Mumbai, Maharashtra, India
  • Pooja Patil  Department of Information Technology, Mumbai University, Mumbai, Maharashtra, India
  • Prof Prachi Kshirsagar  Department of Information Technology, Mumbai University, Mumbai, Maharashtra, India

Keywords:

Sentiment analysis, Learning approaches and Polarity

Abstract

Our day-to-day life has always been influenced by what people think. Ideas and opinions of others have always affected our own opinions. As the Web plays an increasingly significant role in people's social lives, it contains more and more information concerning their opinions and sentiments. The distillation of knowledge from this huge amount of unstructured information, is also known as opinion mining and sentiment analysis. Nowadays, with the rapid evolution of smart phones, mobile applications (Mobile Apps) have become essential parts of our lives. However, it is difficult for consumers to keep track and understand the app sphere because new apps are entering market every day. So sentiment analysis of application reviews on google playstore will help the developers of the applications to keep their particular applications up to date in order to keep their particular application in the top lists and also help the customers to select the most popular application.

References

  1. International Journal of Innovative Research in Advanced Engineering (IJIRAE) ISSN: 2349-2163 Issue 1, Volume 2 (January 2015) http://www.ijirae.com/volumes/Vol2/iss1/28.JACS10092.pdf
  2. International Journal Of Computer Science And Applications www.researchpublications.org
  3. International Journal of Emerging Engineering Research and Technology Volume 3, Issue 1, January 2015, PP 51-55 Sentiment Analysis Based on Dictionary Approach
  4. Neha S. Joshi et al, / (IJCSIT) International Journal of Computer Science and Information Technologies, Vol. 5 (4) , 2014, 5422-5425 A Survey on Feature Level Sentiment Analysis
  5. International Journal of Computer Applications (0975 – 8887) Volume 121 – No.20, July 2015 Sentiment Analysis on Social Media and Online Review

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

Downloads

Published

2017-04-30

Issue

Volume 2, Issue 2, March-April-2017

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]
Sangeeta Panigrahi, Saarim Momin, Pooja Patil, Prof Prachi Kshirsagar, " Sentiment Analysis of Application Reviews On Google Playstore, IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 2, Issue 2, pp.510-513, March-April-2017.