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I was working on a NLP(ish) idea for a while and got a descent prototype put together, but haven't had time to take the project past that. The idea was to train

I was working on a NLP(ish) idea for a while and got a descent prototype put together, but haven't had time to take the project past that. The idea was to train a model to classify tone of voice (a kind voice, angry voice, whiny voice, etc). Writing this out again now. I wonder if we could train a model to predict whether a statement is sarcastic or not..

JPLeRouzic 4y ago
https://en.wikipedia.org/wiki/Sentiment_analysis https://en.wikipedia.org/wiki/Sentiment_analysis https://www.kdnuggets.com/2016/05/voice-tone-analysis-emotion-detection.html https://www.kdnuggets.com/2016/05/voice-tone-analysis-emotio...
sharemywin 4y ago
The dataset would be the hard part. I played around with Sentence Embeddings and Sentence Similarity. I thought about being able to compare a sentence with "Happy" and get a score between them. This could be a generalized solution for a nlp problems. I noticed it tended to match things a little different than I would expect. I would expect the subject of the sentence to match first.