textacy

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

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