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textacy

Enables advanced natural language processing tasks by leveraging the capabilities of an underlying high-performance library.

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    What is textacy?

    textacy is a Python library that enables advanced natural language processing (NLP) capabilities. Built on top of the high-performance spaCy library, textacy focuses on higher-level NLP tasks that are facilitated by the availability of tokenized, part-of-speech tagged, and dependency parsed text. The library provides a suite of tools for tasks such as named entity recognition, text summarization, topic modeling, and text similarity analysis, among others. Users can leverage the powerful NLP foundations of spaCy while benefiting from the additional functionality and convenience offered by textacy's API

    Highlights

    • Performs advanced NLP tasks on top of the spaCy library's core NLP capabilities
    • Provides tools for named entity recognition, text summarization, topic modeling, and text similarity analysis
    • Offers a convenient API that builds upon the spaCy library's foundations
    • Enables users to leverage high-performance NLP processing without the need to manage the underlying complexities