textacy
A Python NLP library built on spaCy for text preprocessing, feature extraction, and analysis tasks.
What is textacy?
textacy is a Python library for natural language processing (NLP) built on top of spaCy. It focuses on tasks that come before and after spaCy's core linguistic processing, such as text cleaning, feature extraction, and analysis. The library provides utilities for preprocessing raw text, extracting structured information like entities and keyterms, and computing text statistics.
Data scientists, NLP researchers, and developers working on text analysis projects who need extended functionality beyond spaCy's core features. It's particularly useful for those dealing with text preprocessing, feature extraction, and exploratory data analysis.
textacy extends spaCy with convenient methods and custom extensions, offering a comprehensive toolkit for practical NLP workflows. It saves time by providing ready-to-use functions for common text analysis tasks, reducing the need for custom implementations.
Overview
NLP, before and after spaCy
Use Cases
Best For
- Cleaning and normalizing raw text before NLP processing
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