rafalposwiata / depression-detection-lt-edi-2022
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.
☆26Updated 2 years ago
Alternatives and similar repositories for depression-detection-lt-edi-2022
Users that are interested in depression-detection-lt-edi-2022 are comparing it to the libraries listed below
Sorting:
- depression detection by using tweets☆28Updated 6 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
- Official Implementation for NYCU_TWD LT-EDI@ACL 2022☆20Updated 2 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
- 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
- Official source code for the paper: "It’s Just a Matter of Time: Detecting Depression with Time-Enriched Multimodal Transformers"☆55Updated last year
- This repository applies Deep Learning techniques for depression detection in text, using LSTM, GRU, BiLSTM, BERT models, and a baseline F…☆14Updated last year
- Python code for Depression Detection using variuos machine learning algorithms and Twitter dataset for detecting depression from sentimen…☆22Updated 3 years ago
- Speech-based diagnosis of depression☆28Updated 3 years ago
- DepressionEmo: A novel dataset for multilabel classification of depression emotions☆28Updated last year
- Source code for the paper "Text-based Depression Detection: What Triggers An Alert"☆48Updated last year
- ☆24Updated 2 years ago
- ☆20Updated 9 months ago
- Deep learning model of depression detection from activity sensor data☆13Updated 3 years ago
- Detecting Anxiety and Depression using facial emotion recognition and speech emotion recognition. Written in pythonPython☆60Updated 3 years ago
- ☆10Updated 2 years ago
- Detecting depressed Patient based on Speech Activity, Pauses in Speech and Using Deep learning Approach☆18Updated 2 years ago
- BB-SVM model for automatic personality detection of the essays dataset (Big-Five personality labeled traits)☆32Updated 4 years ago
- Deep Learning for Suicide and Depression Identification with Unsupervised Label Correction (ICANN 2021)☆65Updated 3 years ago
- Multimodal Deep Learning Framework for Mental Disorder Recognition @ FG'20☆38Updated 2 years ago
- Comparing Selective Masking Methods for Depression Detection in Social Media☆12Updated last year
- Depression Detection from Speech☆34Updated 8 years ago
- Data for "Early Identification of Depression Severity Levels on Reddit Using Ordinal Classification" paper accepted at The Web Conference…☆20Updated 3 years ago
- Multi-modal Sarcasm Detection and Humor Classification in Code-mixed Conversations☆12Updated 3 years ago
- Code for "Emotion-Infused Models for Explainable Psychological Stress Detect" at NAACL 2021☆8Updated 4 years ago
- Depression Detection Using Twitter Data - Group project for Udacity Private & Secure AI Project Showcase☆51Updated 2 years ago
- Detect depression in tweets using Keras☆31Updated 5 years ago
- A ML project specifically build for predicting students' mental health☆23Updated 2 years ago
- depression detection on sina weibo using multivariate time series data☆9Updated last year
- Automatic Depression Detection: a GRU/ BiLSTM-based Model and An Emotional Audio-Textual Corpus☆174Updated last year