JRC1995/TextRank-Keyword-Extraction
Keyword extraction using TextRank algorithm after pre-processing the text with lemmatization, filtering unwanted parts-of-speech and other techniques.
This project helps anyone who needs to quickly understand the core topics of a document by automatically extracting the most important keywords. You provide a piece of text, and it processes that text to identify and output a list of key terms. It's designed for researchers, analysts, or content creators who want to distill information efficiently.
112 stars. No commits in the last 6 months.
Use this if you have documents, articles, or reports and need a quick, unbiased way to identify their main subjects without reading the entire text.
Not ideal if you need to extract specific entities like names, organizations, or locations, or if you require a sentiment analysis of the text.
Stars
112
Forks
43
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Feb 04, 2020
Commits (30d)
0
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