Depression-Detection

Depression detection using multi-modal fusion framework composed of deep convolutional neural network (DCNN) and deep neural network (DNN) models.

Name		Name	Last commit message	Last commit date
Latest commit History 15 Commits
data		data
sentences		sentences
.gitignore		.gitignore
Data_4_21_DI.csv		Data_4_21_DI.csv
Depression_detectoin.ipynb		Depression_detectoin.ipynb
Extra-data.csv		Extra-data.csv
README.md		README.md
data_preprocessing.py		data_preprocessing.py
dev_split.csv		dev_split.csv
dev_split_Depression_AVEC2017.csv		dev_split_Depression_AVEC2017.csv
excel-handler.py		excel-handler.py
full_test_split.csv		full_test_split.csv
new-data.csv		new-data.csv
new-dev-split.csv		new-dev-split.csv
new-test-split.csv		new-test-split.csv
new-train-split.csv		new-train-split.csv
test_split.csv		test_split.csv
test_split_Depression_AVEC2017.csv		test_split_Depression_AVEC2017.csv
train_split.csv		train_split.csv
train_split_Depression_AVEC2017.csv		train_split_Depression_AVEC2017.csv

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