Python matchtext
Python 3 package for fast text matching and replacing.
This library implements two fast approaches for matching keywords/gazetteer entries:
- TokenMatcher: keywords/gazetteer entries are sequences of tokens, optionally associated with some data and the matcher tries to match any of those in a given sequence of tokens.
- StringMatcher: keywords/gazetter entries are strings, optionally associated with some data and the matcher tries to match any of those in a given string, optionally only at non-word boundaries.
The matchers are implemented to be fast: TokenMatcher is a hash tree, StringMatcher uses a character trie implementation underneath. Both matchers implement additional features often required in NLP:
- return the offsets in the original iterable where a match occurs
- mapfunc: tokens/characters can be mapped to some canonical form that is used for matching
- ignorefunc: some tokens/characters can be entirely ignored for matching
- match all/longest: only match the longest entry versus all entries
- skip/noskip: if any match is found, continue matching after the longest match versus at the next position
1 maintainer
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Release files for matchtext 0.2.3
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
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| matchtext-0.2.3.tar.gz | 23.8 kB | Without provenance | Details for matchtext-0.2.3.tar.gz |
Built distribution (wheel)
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| matchtext-0.2.3-py2.py3-none-any.whl | Python 2, Python 3 | none | any | Details for matchtext-0.2.3-py2.py3-none-any.whl |
Total release size: 42.8 kB
Release files / matchtext-0.2.3.tar.gz
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Release files / matchtext-0.2.3-py2.py3-none-any.whl
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Security for matchtext 0.2.3
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