NathanDuran/Probabilistic-RNN-DA-Classifier
Probabilistic Dialogue Act Classification for the Switchboard Corpus using an LSTM model
This project helps conversational AI developers and researchers automatically classify spoken dialogue acts in a conversation. It takes raw text from a dialogue, like a customer service call or meeting transcript, and outputs the probability that each utterance serves a specific purpose (e.g., 'question', 'statement', 'agreement'). This is primarily for those building or analyzing dialogue systems, especially in academic or research settings.
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Use this if you need to automatically categorize the communicative intent of utterances within a conversation, particularly for research on dialogue systems or spoken language understanding.
Not ideal if you need a pre-built, production-ready solution for real-time dialogue act classification in a commercial application without significant development work.
Stars
24
Forks
13
Language
Python
License
GPL-3.0
Category
Last pushed
Jul 30, 2020
Commits (30d)
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