Official source code for the paper: "It’s Just a Matter of Time: Detecting Depression with Time-Enriched Multimodal Transformers"

Official source code for the paper: "Reading Between the Frames Multi-Modal Non-Verbal Depression Detection in Videos"

Speech-based diagnosis of depression

depression detection by using tweets

This repository contains the code of our winning solution for the Shared Task on Detecting Signs of Depression from Social Media Text at LT-EDI-ACL2022.

code for paper 'Spatial-Temporal Attention Network for Depression Recognition from Facial Videos'

Depression is one of the most common mental disorders with millions of people suffering from it.It has been found to have an impact on the texts written by the affected masses.In this study our main aim was to utilise tweets to predict the possibility of a user at-risk of depression through the use of Natural Language Processing(NLP) tools and …

Official Implementation for NYCU_TWD LT-EDI@ACL 2022

Detecting depressed Patient based on Speech Activity, Pauses in Speech and Using Deep learning Approach

Edison AT is software Depression Assistant personal.

Comparing Selective Masking Methods for Depression Detection in Social Media

This repository applies Deep Learning techniques for depression detection in text, using LSTM, GRU, BiLSTM, BERT models, and a baseline FFNN. It also includes data visualizations, autoencoder semantics, KMeans clustering, and detailed performance comparisons.

M.Sc. mini project for NLP class (M908)

Here we aim to develop a software plus hardware that uses AI based algorithms to determine if the user is under any sort of physical/mental/emotional trauma and thus under any sort of depression. The bot is capable of generating an report for the user and also alerts his/her care-taker in case of threats to life and severe symptoms of depression…

A trained machine learning model to detect early symptoms of depression using data collected from X (Twitter) that is integrated into Telegram.

DAEB-τSS3: Imbalanced Social Media Text Depression Detection Method

Depression Asisstant can help you give solution. Please using Python version 3.9.5 for contribute.

This Project creates a smart AI computer program that predicts depression from what people write online. It learns patterns in language to spot signs of depression, helping identify those who might need support.

Internal Healthn uses AI technology and social media as a tool for mental health care

T.E.D.D.Y aims to help teachers and counselors analyze student essays to find potential depressive/suicidal sentiment and offer support.