wjbmattingly/keyword-spacy
Keyword spaCy is a spaCy pipeline component for extracting keywords from text using cosine similarity.
This tool helps you quickly identify the most important words and phrases within any text, like articles, reports, or customer feedback. You provide it with a document or piece of text, and it outputs a list of relevant keywords or key phrases. It's designed for data analysts, content strategists, or researchers who need to distill key topics from large volumes of text.
No commits in the last 6 months. Available on PyPI.
Use this if you need to extract the most salient keywords and key phrases from text documents, leveraging advanced language models for accuracy.
Not ideal if you need a non-Python, ready-to-use application for keyword extraction without any coding.
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Last pushed
Dec 07, 2023
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