ymym3412/position-rank
PositionRank: An Unsupervised Approach to Keyphrase Extraction from Scholarly Documents
This tool helps researchers, academics, and students quickly identify the most important keyphrases from scholarly documents. You provide the title and abstract of a research paper, and it extracts a ranked list of relevant keyphrases. This is useful for summarizing content, indexing documents, or improving searchability.
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Use this if you need an automated way to pull out the most descriptive terms from academic papers, articles, or other long-form documents in English or Japanese.
Not ideal if you're looking for a user-friendly application with a graphical interface, as this tool requires some technical setup to run.
Stars
95
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13
Language
Python
License
MIT
Category
Last pushed
Dec 08, 2022
Commits (30d)
0
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curl "https://pt-edge.onrender.com/api/v1/quality/nlp/ymym3412/position-rank"
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