RicherMans / text_based_depression
Source code for the paper "Text-based Depression Detection: What Triggers An Alert"
☆48Updated last year
Alternatives and similar repositories for text_based_depression:
Users that are interested in text_based_depression are comparing it to the libraries listed below
- Detecting depression in a conversation using Convolutional Neral Network☆70Updated 4 years ago
- Source code for paper Multi-Task Learning for Depression Detection in Dialogs (SIGDial 2022)☆10Updated 3 months ago
- Official source code for the paper: "It’s Just a Matter of Time: Detecting Depression with Time-Enriched Multimodal Transformers"☆54Updated last year
- Automatic Depression Detection: a GRU/ BiLSTM-based Model and An Emotional Audio-Textual Corpus☆174Updated last year
- Reproduction of DepAudioNet by Ma et al. {DepAudioNet: An Efficient Deep Model for Audio based Depression Classification,(https://dl.acm.…☆76Updated 3 years ago
- ☆20Updated 9 months ago
- The code repository for NAACL 2021 paper "Multimodal End-to-End Sparse Model for Emotion Recognition".☆103Updated 2 years ago
- Baseline scripts for AVEC 2019, Depression Detection Sub-challenge☆15Updated 5 years ago
- Baseline scripts for the Audio/Visual Emotion Challenge 2019☆79Updated 3 years ago
- ☆32Updated 2 years ago
- Automatic Depression Detection by Multi-model Ensemble. Based on DAIC-WOZ dataset.☆33Updated 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
- The code for our IEEE ACCESS (2020) paper Multimodal Emotion Recognition with Transformer-Based Self Supervised Feature Fusion.☆120Updated 3 years ago
- Depression-Detection represents a machine learning algorithm to classify audio using acoustic features in human speech, thus detecting de…☆14Updated 4 years ago
- ☆61Updated last year
- the baseline model of CMDC corpus☆40Updated 2 years ago
- Official source code for the paper: "Reading Between the Frames Multi-Modal Non-Verbal Depression Detection in Videos"☆61Updated 11 months ago
- Official PyTorch implementation of Multilogue-Net (Best paper runner-up at Challenge-HML @ ACL 2020)☆58Updated 2 years ago
- Scripts used in the research described in the paper "Multimodal Emotion Recognition with High-level Speech and Text Features" accepted in…☆53Updated 3 years ago
- Emotion recognition from IEMOCAP datasets.☆30Updated 4 years ago
- The code for our INTERSPEECH 2020 paper - Jointly Fine-Tuning "BERT-like'" Self Supervised Models to Improve Multimodal Speech Emotion R…☆120Updated 4 years ago
- ☆22Updated 6 months ago
- scripts to model depression in speech and text☆71Updated 5 years ago
- Detect emotion from audio signals of IEMOCAP dataset using multi-modal approach. Utilized acoustic features, mel-spectrogram and text as …☆39Updated last year
- ☆10Updated last year
- Detecting depression levels in employees from videos of DAIC-WOZ dataset using LSTMs and Facial Action Units as input.☆27Updated 6 years ago
- CM-BERT: Cross-Modal BERT for Text-Audio Sentiment Analysis（MM2020）☆112Updated 4 years ago
- A multimodal approach on emotion recognition using audio and text.☆175Updated 4 years ago
- MultiModal Sentiment Analysis architectures for CMU-MOSEI.☆44Updated 2 years ago
- Source code for ICASSP 2022 paper "MM-DFN: Multimodal Dynamic Fusion Network For Emotion Recognition in Conversations".☆86Updated 2 years ago