Skip to main content

This code implements a basic, Twitter-aware tokenizer. Originally developed by Christopher Potts and updated by the World Well-Being Project based out of the University of Pennsylvania and Stony Brook University. Shared with permission.

Project description

UNKNOWN

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

happierfuntokenizing-1.5.7.tar.gz (5.0 kB view details)

Uploaded Source

File details

Details for the file happierfuntokenizing-1.5.7.tar.gz.

File metadata

File hashes

Hashes for happierfuntokenizing-1.5.7.tar.gz
Algorithm Hash digest
SHA256 fcf87117427e07651811a8dd7baf713f618d4dfb851d7dcbab8e8039d5a28791
MD5 68d888be70b060c622c156a3d8693d15
BLAKE2b-256 6d64fda7575010c0484cb254243b36ae0862f9938bc44b393a64f1d79f9f4d29

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