FDSRashid/Semantic-Similarity-Arabic

A package which implements various ways to measure semantic similarity of arabic texts

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Experimental

This tool helps anyone working with large volumes of Arabic text to quickly understand how similar different documents or sentences are in meaning. You input your Arabic texts, and the tool outputs similarity scores or identifies the most semantically related pairs. It's designed for researchers, analysts, or content managers dealing with Arabic language data.

No commits in the last 6 months.

Use this if you need to compare and group Arabic texts based on their semantic meaning, rather than just keyword matches.

Not ideal if you are working with languages other than Arabic, or if you only need simple keyword matching for text comparison.

Arabic-NLP text-analysis content-clustering information-retrieval linguistics
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 4 / 25
Maturity 8 / 25
Community 9 / 25

How are scores calculated?

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Language

Python

License

Last pushed

Nov 11, 2023

Commits (30d)

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Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/nlp/FDSRashid/Semantic-Similarity-Arabic"

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