jackmen/PhuzzyMatcher
Combination of the RapidFuzz library with Spacy PhraseMatcher
PhuzzyMatcher helps data scientists and NLP practitioners quickly identify and extract key phrases from text, even if they're phrased slightly differently across documents. You provide a list of target phrases and a collection of text documents, and it helps you find all instances of those phrases, including variations. This is especially useful for preparing datasets for training named entity recognition (NER) or other text classification models.
Use this if you need to find variations of specific phrases within a large corpus of text to create an annotated dataset for training a language model.
Not ideal if you require extremely fast processing for real-time applications or if you only need exact phrase matching.
Stars
7
Forks
4
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Mar 18, 2026
Commits (30d)
0
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