bnosac/crfsuite
Labelling Sequential Data in Natural Language Processing with R - using CRFsuite
This package helps natural language processing practitioners automatically categorize words or phrases in text, a process known as 'tagging' or 'chunking'. You provide raw text and define the categories you want to identify, and the tool outputs text with specific words or phrases labeled according to your criteria. This is useful for linguists, data scientists, or anyone who needs to extract structured information from unstructured text.
Use this if you need to build a custom model to automatically identify and label specific types of entities, parts of speech, or intents within your own text data.
Not ideal if you are looking for a pre-trained model for common NLP tasks, as this tool provides the framework to build your own custom models.
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C
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Last pushed
Nov 27, 2025
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