textacy is a Python library for performing a variety of natural language processing (NLP) tasks, built on the high-performance spaCy library. With the fundamentals, tokenization, part-of-speech tagging, dependency parsing, etc., delegated to another library, textacy focuses primarily on the tasks that come before and follow after.

Features

  • Access and extend spaCy's core functionality for working with one or many documents through convenient methods and custom extensions
  • Load prepared datasets with both text content and metadata, from Congressional speeches to historical literature to Reddit comments
  • Clean, normalize, and explore raw text before processing it with spaCy
  • Extract structured information from processed documents, including n-grams, entities, acronyms, keyterms, and SVO triples
  • Compare strings and sequences using a variety of similarity metrics
  • Tokenize and vectorize documents then train, interpret, and visualize topic models

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License

Apache License V2.0

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Additional Project Details

Programming Language

Python

Related Categories

Python Natural Language Processing (NLP) Tool

Registered

2025-01-22