This week I mostly worked on our design report. I also worked on setting up google speech to text and using sklearn’s word vectorizer. With two emotions, I was able to achieve around 80% accuracy with the word vectorizer. Going forward, I’m planning to work on the LSTM-CNN for textual emotion analysis.  From my research online, using one LSTM layer and one or two CNN layers produces optimal results:. I do not think I’ll make much progress during break, but I hope to start training when I get back to Pittsburgh.


0 Comments

Leave a Reply

Your email address will not be published. Required fields are marked *