[Retracted] Large-Scale Textual Datasets and Deep Learning for the Prediction of Depressed Symptoms

Algorithm 2

A proposed model

	Start
	Training and Testing of Text
	Assign T = the number of text training samples.
	Do this for i = 1 to M.
	Text = Text (i) to get it.
	Obtain features and assign the label of the text to Yi.
	End of
	Get all the training features L and labels Y.
	Train the model!
	Calculate the cosine similarity of two vectors: one from the dataset and one from a previously used typed vector.
	If the similarity is there, then it is depression; else, there is no depression.
	End