Predicting depression from acoustic features of speech using a Convolutional Neural Network.
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Updated
Oct 29, 2018 - Python
Predicting depression from acoustic features of speech using a Convolutional Neural Network.
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This project develops a Depression Detection System using Machine Learning on Twitter data. It predicts depression by analyzing tweets with SVM, Logistic Regression, Decision Trees, and NLTK in Python.
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