swcwang / depression-detection
Depression Detection Using Twitter Data - Group project for Udacity Private & Secure AI Project Showcase
☆50Updated 2 years ago
Alternatives and similar repositories for depression-detection:
Users that are interested in depression-detection are comparing it to the libraries listed below
- depression detection by using tweets☆28Updated 6 years ago
- ☆13Updated 4 years ago
- Detect depression in tweets using Keras☆32Updated 5 years ago
- 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 t…☆20Updated 4 years ago
- Conventionally depression detection was done through extensive clinical interviews, wherein the subject’s re- sponses are studied by the …☆1Updated 4 years ago
- Python code for Depression Detection using variuos machine learning algorithms and Twitter dataset for detecting depression from sentimen…☆23Updated 3 years ago
- Detecting Depression in Tweets using Baye's Theorem☆54Updated 5 years ago
- The first asian machine learning in Jeju Island, South Korea - Project☆70Updated 4 years ago
- Source code for the paper "Text-based Depression Detection: What Triggers An Alert"☆48Updated last year
- Detecting Anxiety and Depression using facial emotion recognition and speech emotion recognition. Written in pythonPython☆58Updated 3 years ago
- Comparing Selective Masking Methods for Depression Detection in Social Media☆12Updated last year
- Speech-based diagnosis of depression☆28Updated 3 years ago
- Detect Depression from Social Network Using Deep learning☆26Updated 6 years ago
- Sentiment Analysis using Python, Twitter API and Hive☆37Updated 7 years ago
- Depression Detection from Speech☆33Updated 7 years ago
- This consists in using a variety of social networks data, including both images and texts, to detect early signs of depression.☆12Updated 2 years ago
- This repository applies Deep Learning techniques for depression detection in text, using LSTM, GRU, BiLSTM, BERT models, and a baseline F…☆14Updated last year
- A ML project specifically build for predicting students' mental health☆23Updated 2 years ago
- Building a suicidal text detection model and mental health chatbot with deep learning models and transformers.☆32Updated last year
- Deep learning model of depression detection from activity sensor data☆13Updated 3 years ago
- Official source code for the paper: "It’s Just a Matter of Time: Detecting Depression with Time-Enriched Multimodal Transformers"☆53Updated last year
- A curated list of awesome work on machine learning for mental health applications. Includes topics broadly captured by affective computin…☆120Updated 4 years ago
- ☆32Updated 2 years ago
- Detecting depression in a conversation using Convolutional Neral Network☆69Updated 4 years ago
- Official Implementation for NYCU_TWD LT-EDI@ACL 2022☆19Updated 2 years ago
- In this project, I am trying to track the spread of disinformation. This repo is for the ML part of the project and where it tries to cla…☆22Updated 3 years ago
- Dataset for "Depression Detection via Harvesting Social Media: A Multimodal Dictionary Learning Solution" in IJCAI 17☆26Updated last year
- Deep Learning for Suicide and Depression Identification with Unsupervised Label Correction (ICANN 2021)☆64Updated 3 years ago
- Detecting depressed Patient based on Speech Activity, Pauses in Speech and Using Deep learning Approach☆18Updated 2 years ago
- This project, part of a Natural Language Processing course at Aarhus University, employs Python and NLP tools to analyze Reddit data over…Updated last year