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Play Store Sentimental Analysis

EasyChair Preprint no. 12762

3 pagesDate: March 27, 2024

Abstract

Software application is vital because specific software is required in almost every industry,in every business ,and for each function. It become more important as time goes on. Mobile app distribution platform such as Google play store gets flooded with millions of new applications uploaded by developers everyday.So in this project, we aim on analyzing Google play store that provides a particular app description and data such as reviews, ratings, price and number of downloads. The objective of this is to analyze the desire of the customer through the reviews provided in the feedback section and apps trend in the market to help the organization developers.To this end, we provide an idea about app that managed to get maximum and minimum number of downloads and predicting the category of apps that is most likely to be downloaded in the coming years. Moreover, doing sentimental analysis on the apps that generated most positive and negative sentiments, sustainability of app in market on basis of previous data and current market situation.

Keyphrases: App-related terms, Negative Sentiment, Positive Sentiment

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
@Booklet{EasyChair:12762,
  author = {Vari Bhumika and Parmar Kinnari and Talati Khushi and Bhavika Darji},
  title = {Play Store Sentimental Analysis},
  howpublished = {EasyChair Preprint no. 12762},

  year = {EasyChair, 2024}}
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