likejazz/Siamese-LSTM

Siamese LSTM for evaluating semantic similarity between sentences of the Quora Question Pairs Dataset.

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Emerging

This project helps developers evaluate if two text questions are semantically identical, even if they're phrased differently. You input pairs of questions, and it outputs a score indicating how similar their meanings are. It's designed for machine learning engineers or data scientists working on natural language processing tasks.

256 stars. No commits in the last 6 months.

Use this if you need to determine if different questions are asking the same thing, like for a Q&A platform or customer support system.

Not ideal if you need to compare documents longer than sentences or are looking for exact keyword matching rather than semantic similarity.

natural-language-processing semantic-analysis question-answering-systems information-retrieval text-mining
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 10 / 25
Maturity 8 / 25
Community 23 / 25

How are scores calculated?

Stars

256

Forks

70

Language

Python

License

Last pushed

Mar 22, 2018

Commits (30d)

0

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