https://github.com/chiraag-kakar/psa

A comprehensive analysis of the Android app market by comparing over ten thousand apps in Google Play across different categories and look for meaningful insights .
https://github.com/chiraag-kakar/psa

android-application comprehensive-analysis insights machine-learning-algorithms market meaningful-insights playstore project sentiment sentiment-analysis

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A comprehensive analysis of the Android app market by comparing over ten thousand apps in Google Play across different categories and look for meaningful insights .

• Host: GitHub
• URL: https://github.com/chiraag-kakar/psa
• Owner: chiraag-kakar
• Created: 2020-07-04T08:15:50.000Z (over 4 years ago)
• Default Branch: master
• Last Pushed: 2020-07-19T07:06:01.000Z (over 4 years ago)
• Last Synced: 2023-08-07T19:28:02.163Z (over 1 year ago)
• Topics: android-application, comprehensive-analysis, insights, machine-learning-algorithms, market, meaningful-insights, playstore, project, sentiment, sentiment-analysis
• Language: Jupyter Notebook
• Homepage: https://chiraag-kakar.github.io/PSA
• Size: 2.08 MB
• Stars: 5
• Watchers: 0
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Playstore Sentiment Analysis

A comprehensive analysis of the Android app market by comparing over ten thousand apps in Google Play across different categories and look for meaningful insights .

These insights will help in devising strategies to drive growth and retention.

# Data

The data for this project was scraped from the Google Play website.

## Data description

The data files are as follows:

* apps.csv: contains all the details of the applications on Google Play. There are 13 features that describe a given app.

* user_reviews.csv: contains 100 reviews for each app, most helpful first. The text in each review has been pre-processed and attributed with three new features: Sentiment (Positive, Negative or Neutral), Sentiment Polarity and Sentiment Subjectivity.

## License

This project is licensed under the MIT License - see the [LICENSE.md](LICENSE.md) file for details

## Acknowledgments

* DataCamp