Abstract:

This Paper aims to detect the depression in tweets using Machine Learning models which are taken from twitter, In particular by using a Convolutional Neural Network which is evaluated based on the various word embeddings. This well-trained Machine Learning model, if deployed on social media platforms like Facebook, Twitter and Instagram can help in detection of depression in tweets based upon the text used in posts by implementation of text-vectorization method.

Description:

Detection, Depression, social media, Machine Learning, CNN, text-vectorization