Thiyaagarajan N
Bengaluru, Karnataka
Karnataka
This is a project in which it can detect depression using machine learning, deep learning, nlp. ...learn more
Project status: Under Development
oneAPI, Artificial Intelligence, Cloud
Using machine learning to detect early signs of depression in social media posts
this is a stand alone module which requires the user to enter a dataset location with 2 folder ,preferably labeled positive and negative,with positive folder containing positively identified depressive tweets and the negative folder containing normal tweets
a sample dataset is provided in the data folder ,labeled , dataset_tweets_rm.zip to use the dataset,extract the above mentioned file and enter the location of the file at the prompt
this module creates a pickle file which contains a dictionary of all the preprocessed tweets along with their labels and vectors
python, nlp, pandas, os, pickle, io, demoji, nltk, re, string, random, numpy, tensorflow, fasttextasft, keras, matplotlib, sklearn, demoji, oneapi, artificial intelligence
https://github.com/richiekenath/Depression_detection