Skip to main content

This library, based on NLTK library and sentience.jar package, is designed to help analyze App comment data, and can implement comment feature extraction, comment emotion analysis, comment star and comment emotion correlation analysis, and comment emotion score prediction

Project description

This is a simple example package. You can use [Github-flavored Markdown](https://guides.github.com/features/mastering-markdown/) to write your content.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Files for app-reviews-analysis, version 0.0.4
Filename, size File type Python version Upload date Hashes
Filename, size app_reviews_analysis-0.0.4-py3.6.egg (6.0 MB) File type Egg Python version 3.6 Upload date Hashes View
Filename, size app_reviews_analysis-0.0.4-py3-none-any.whl (5.9 MB) File type Wheel Python version py3 Upload date Hashes View
Filename, size app_reviews_analysis-0.0.4.tar.gz (5.9 MB) File type Source Python version None Upload date Hashes View

Supported by

AWS AWS Cloud computing Datadog Datadog Monitoring DigiCert DigiCert EV certificate Facebook / Instagram Facebook / Instagram PSF Sponsor Fastly Fastly CDN Google Google Object Storage and Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Salesforce Salesforce PSF Sponsor Sentry Sentry Error logging StatusPage StatusPage Status page