jinglescode/textual-similarity-universal-sentence-encoder

Extract embeddings and group sentences with universal sentence encoder package from TensorFlow.js.

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This tool helps analyze how similar different pieces of text are, like customer queries, product descriptions, or document sections. You input a list of sentences or short phrases, and it tells you which ones are semantically close to each other. This is for anyone who needs to understand the underlying meaning in text, such as customer support managers, content strategists, or researchers.

No commits in the last 6 months.

Use this if you need to quickly group or compare short texts based on their meaning, rather than just exact keyword matches.

Not ideal if you're looking for a tool to perform detailed, deep linguistic analysis or to process extremely long documents with complex structures.

Text Analysis Customer Support Content Management Information Retrieval Marketing Research
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 8 / 25
Maturity 16 / 25
Community 17 / 25

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Stars

44

Forks

10

Language

HTML

License

Apache-2.0

Last pushed

Sep 12, 2020

Commits (30d)

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