Sentiment Analysis On Google Play Store

  • Unique Paper ID: 168694
  • Volume: 11
  • Issue: 5
  • PageNo: 1930-1932
  • Abstract:
  • In this research paper we are going to explore the use of Sentiment Analysis to knowing exact meaningful insights from Google Play Store Review. With the help of libraries i.e. Linear Regressions and much more, we will classify user sentiments as positive, negative or neutral. In this project fully analysis focuses on understanding user satisfaction and identifying their needs or trends that can help for developing and improving their apps. The result of this project shows that large proportions of reviewing express like positive sentiments through specific comments or compliments related to performance. With the help of this insights there will improve in app developers to their user experience and engagement.

Copyright & License

Copyright © 2025 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

BibTeX

@article{168694,
        author = {Prof. Mr. Vikas Gaikwad and Priyanka Patil and Pratiksha Tambe and Shubhangi Bhagwat and Ms. Ketki Chand},
        title = {Sentiment Analysis On Google Play Store},
        journal = {International Journal of Innovative Research in Technology},
        year = {2024},
        volume = {11},
        number = {5},
        pages = {1930-1932},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=168694},
        abstract = {In this research paper we are going to explore the use of Sentiment Analysis to knowing exact meaningful insights from Google Play Store Review. With the help of libraries i.e. Linear Regressions and much more, we will classify user sentiments as positive, negative or neutral. In this project fully analysis focuses on understanding user satisfaction and identifying their needs or trends that can help for developing and improving their apps. The result of this project shows that large proportions of reviewing express like positive sentiments through specific comments or compliments related to performance. With the help of this insights there will improve in app developers to their user experience and engagement.},
        keywords = {},
        month = {October},
        }

Cite This Article

  • ISSN: 2349-6002
  • Volume: 11
  • Issue: 5
  • PageNo: 1930-1932

Sentiment Analysis On Google Play Store

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