DengBoCong/text-similarity

文本相似度(匹配)计算,提供Baseline、训练、推理、指标分析...代码包含TensorFlow/Pytorch双版本

45
/ 100
Emerging

This tool helps you determine how similar two pieces of text are, which is useful for tasks like matching customer queries to product descriptions or identifying duplicate content. You provide pairs of text, and it outputs a similarity score. Anyone needing to understand the conceptual closeness between different texts, such as content managers, customer support analysts, or researchers, would find this valuable.

181 stars. No commits in the last 6 months.

Use this if you need to compare sentences or documents to find semantic matches and understand their relatedness across various applications.

Not ideal if your primary goal is simple keyword matching rather than understanding the underlying meaning or context of the text.

content-matching information-retrieval duplicate-detection semantic-search customer-support-automation
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 10 / 25
Maturity 16 / 25
Community 19 / 25

How are scores calculated?

Stars

181

Forks

32

Language

Python

License

MIT

Last pushed

May 01, 2022

Commits (30d)

0

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