svakulenk0/semantic_coherence
Measuring semantic (in)coherence in Ubuntu dialogue corpus using different word and knowledge graph embeddings.
This project helps researchers and data scientists analyze the semantic coherence of conversations, particularly in technical support dialogues. It takes a corpus of dialogues, processes them to identify key entities, and then generates a score indicating how semantically related the utterances are. It is designed for those studying communication patterns or developing conversational AI.
No commits in the last 6 months.
Use this if you need to quantify how well different parts of a conversation stick to a central topic or if you are evaluating the natural flow and logical progression of dialogue exchanges.
Not ideal if you need real-time coherence analysis for live conversations or if your primary goal is sentiment analysis or speaker identification rather than topic relatedness.
Stars
18
Forks
2
Language
Python
License
—
Category
Last pushed
Dec 08, 2022
Commits (30d)
0
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curl "https://pt-edge.onrender.com/api/v1/quality/embeddings/svakulenk0/semantic_coherence"
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