RandolphVI/Text-Pairs-Relation-Classification

About Text Pairs (Sentence Level) Classification (Similarity Modeling) Based on Neural Network.

48
/ 100
Emerging

This project helps quickly determine if two pieces of text, like sentences or short phrases, have a similar meaning. You provide pairs of texts, and it tells you whether they are conceptually similar or not. It's designed for anyone who needs to automatically categorize or group textual content based on semantic relationships.

190 stars. No commits in the last 6 months.

Use this if you need to classify whether pairs of sentences or short texts are semantically related in a specific domain, supporting both English and Chinese.

Not ideal if you need to compare entire documents, require a detailed explanation of *why* texts are similar, or are looking for a pre-trained solution for complex conversational understanding.

text-classification natural-language-processing semantic-similarity information-retrieval content-categorization
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 10 / 25
Maturity 16 / 25
Community 22 / 25

How are scores calculated?

Stars

190

Forks

55

Language

Python

License

Apache-2.0

Last pushed

Nov 18, 2020

Commits (30d)

0

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/nlp/RandolphVI/Text-Pairs-Relation-Classification"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.