https://github.com/amitness/applytics
Perform Sentiment Analysis on reviews of your apps
https://github.com/amitness/applytics
hackathon playstore review sentiment-analysis
Last synced: 3 months ago
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Perform Sentiment Analysis on reviews of your apps
- Host: GitHub
- URL: https://github.com/amitness/applytics
- Owner: amitness
- License: mit
- Created: 2016-01-03T01:16:08.000Z (over 9 years ago)
- Default Branch: master
- Last Pushed: 2019-04-07T18:01:48.000Z (about 6 years ago)
- Last Synced: 2025-03-23T23:27:04.949Z (3 months ago)
- Topics: hackathon, playstore, review, sentiment-analysis
- Language: Jupyter Notebook
- Homepage:
- Size: 2.5 MB
- Stars: 15
- Watchers: 1
- Forks: 6
- Open Issues: 1
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Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# Applytics
Sentiment Analysis of Your App
We developed this project in a hackathon to perform sentiment analysis on reviews of mobile apps on Google Playstore. The key idea was to identify negative reviews quicker so as to avoid user churn.
### Training Data:
We scraped reviews of 23 popular mobile apps and manually labelled each data as positive or negative to create the dataset.
### Model
The project used Naive Bayes Classifier to perform the sentiment analysis which gave 85% accuracy on our validation set.
### Venue
Developed at [HackClash-Nepal 2016](https://www.facebook.com/events/183044535381401/) hackathon on 2nd & 3rd January, 2016.