Skip to main content

Transform trie to regular expression

Project description

Efficient keyword extraction with regex

This package contains a function for efficiently representing a set of keywords as regex. This regex can be used to replace keywords in sentences or extract keywords from sentences

Build Status codecov

Why use tregex?

  • Pure Python, no other dependencies
  • trex is fast, about 300 times faster than a regex union, and about 2.5 times faster than FlashText
  • Plays well with others, can be integrated easily with pandas

Install trex

Use pip,

pip install tregex

Usage

import tregex as tx

pattern = tx.compile(['baby', 'bat', 'bad'])
hits = pattern.findall('The baby was scared by the bad bat.')
# hits = ['baby', 'bat', 'bad']

Why the name?

Naming is difficult, but as we had to call it something:

  • trex: trie to regex
  • trex: Tyrannosaurus rex, a large dinosaur species with small arms (rex meaning "king" in Latin)

Acknowledgments

This project is based on the following resources:

Project details


Download files

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

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distribution

tregex-0.0.1-py3-none-any.whl (5.2 kB view hashes)

Uploaded Python 3

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