Semantic-Texual-Similarity-Toolkits

Semantic Textual Similarity (STS) measures the degree of equivalence in the underlying semantics of paired snippets of text.

natural-language-processing

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93 Stars

24 Forks

93 Watchers

Python Language

mit License

Cost to Build

$517.5K

Market Value

$869.6K

How is this calculated?

Growth over time

6 data points · 2021-08-01 → 2023-03-01

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What is the rgtjf/Semantic-Texual-Similarity-Toolkits GitHub project? Description: "Semantic Textual Similarity (STS) measures the degree of equivalence in the underlying semantics of paired snippets of text. ". Written in Python. Explain what it does, its main use cases, key features, and who would benefit from using it.

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git clone https://github.com/rgtjf/Semantic-Texual-Similarity-Toolkits.git

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Download master.zip

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