Skip to main content

An optimized stopwords list for sentiment analysis that retains key negations like 'not', 'won't', and 'wouldn't', along with intensity modifiers like 'very' and 'most' to preserve sentiment accuracy.

Project description

The author of this package has not provided a project description

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

revised_stopwords-0.1.0.tar.gz (3.8 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

revised_stopwords-0.1.0-py3-none-any.whl (3.1 kB view details)

Uploaded Python 3

File details

Details for the file revised_stopwords-0.1.0.tar.gz.

File metadata

  • Download URL: revised_stopwords-0.1.0.tar.gz
  • Upload date:
  • Size: 3.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.11.6

File hashes

Hashes for revised_stopwords-0.1.0.tar.gz
Algorithm Hash digest
SHA256 03478dc73da08f960ef6d530fc55399d092809ccf1343782e419f4ead07aa2c5
MD5 17a2a748f3ae986ab963b312f1203246
BLAKE2b-256 0160874664d9f079202e8959fe803f4c92b8802bf182f8f5e04c77312b61529d

See more details on using hashes here.

File details

Details for the file revised_stopwords-0.1.0-py3-none-any.whl.

File metadata

File hashes

Hashes for revised_stopwords-0.1.0-py3-none-any.whl
Algorithm Hash digest
SHA256 fc28b0555dbab2605794908d2ee87f3276c54d8675db538af83edb5c5f54b742
MD5 ef768f6e8e64f522279103541106839a
BLAKE2b-256 9d0f3fafd292003e7c0541f40d8e838763c212cc94ce42d64f5d826cf63d2dca

See more details on using hashes here.

Supported by

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