Skip to main content

A sentiment analyzer

Project description

Sentiment analysis made easy; built on top off solid libraries.

Sentimental uses Scikit-learn to perform easy sentiment analysis. The idea is to create a simple out-of-box solution that yields acceptable results without complex configuration. Sentimental also uses a simple format for its training corpora that makes it easy to add more training data.

Project details


Download files

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

Source Distribution

sentimental-1.0.0.tar.gz (408.3 kB view details)

Uploaded Source

File details

Details for the file sentimental-1.0.0.tar.gz.

File metadata

  • Download URL: sentimental-1.0.0.tar.gz
  • Upload date:
  • Size: 408.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No

File hashes

Hashes for sentimental-1.0.0.tar.gz
Algorithm Hash digest
SHA256 60afc1f5462caf678e202070227eecceec0888b0af02b7b219cb4b1a27525693
MD5 91866e2812bc680e8bdbee3ae0c639b1
BLAKE2b-256 34f3f7136c183ac594f35affe2f8a8a0b3bf018d3e434cfbd3738a014659b1df

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page