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Reseach Article

Google Play Store Data Mining and Analysis

by Md. Shahriar Kabir, Mohammad Shamsul Arefin
International Journal of Applied Information Systems
Foundation of Computer Science (FCS), NY, USA
Volume 12 - Number 26
Year of Publication: 2019
Authors: Md. Shahriar Kabir, Mohammad Shamsul Arefin
10.5120/ijais2019451839

Md. Shahriar Kabir, Mohammad Shamsul Arefin . Google Play Store Data Mining and Analysis. International Journal of Applied Information Systems. 12, 26 ( December 2019), 1-5. DOI=10.5120/ijais2019451839

@article{ 10.5120/ijais2019451839,
author = { Md. Shahriar Kabir, Mohammad Shamsul Arefin },
title = { Google Play Store Data Mining and Analysis },
journal = { International Journal of Applied Information Systems },
issue_date = { December 2019 },
volume = { 12 },
number = { 26 },
month = { December },
year = { 2019 },
issn = { 2249-0868 },
pages = { 1-5 },
numpages = {9},
url = { https://www.ijais.org/archives/volume12/number26/1071-2019451839/ },
doi = { 10.5120/ijais2019451839 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2023-07-05T19:10:07.824508+05:30
%A Md. Shahriar Kabir
%A Mohammad Shamsul Arefin
%T Google Play Store Data Mining and Analysis
%J International Journal of Applied Information Systems
%@ 2249-0868
%V 12
%N 26
%P 1-5
%D 2019
%I Foundation of Computer Science (FCS), NY, USA
Abstract

With the popularity of smartphones, mobile application markets have been growing exponentially in terms of the number of users and downloads. As a report from Statista.com says that by 2020 mobile apps are forecast to generate around 189 billion U.S. dollars in revenues via app stores and in-app advertising. So, Google Play store is a crucial place in the field of business. In this work a system has been developed that can mine important data from google play store with the help of app crawler and find correlation among apps rating, reviews, installs and price. The correlation using Spearman Rank Correlation and Pearson Correlation have been compared as well. Besides, reviews have been crawled from the play store for better understanding. The analysis on review tells the top positive and negative keywords in free and paid apps. The system will help to give an overview of google play stores current condition.

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Index Terms

Computer Science
Information Sciences

Keywords

Mobile Apps Mining Software Repositories Correlation Analysis Extract Review