Bhuvanaa28 / Sentiment-Analysis-for-Depression-Detection
The aim of this project is to predict whether a person is depressed or not using different machine learning algorithms based on the tweets of the user.
☆18Updated 2 years ago
Alternatives and similar repositories for Sentiment-Analysis-for-Depression-Detection:
Users that are interested in Sentiment-Analysis-for-Depression-Detection are comparing it to the libraries listed below
- This project, part of a Natural Language Processing course at Aarhus University, employs Python and NLP tools to analyze Reddit data over…Updated 11 months 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
- depression detection by using tweets☆27Updated 6 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 Anxiety and Depression using facial emotion recognition and speech emotion recognition. Written in pythonPython☆56Updated 3 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
- Conventionally depression detection was done through extensive clinical interviews, wherein the subject’s re- sponses are studied by the …☆1Updated 3 years ago
- Voice stress analysis (VSA) aims to differentiate between stressed and non-stressed outputs in response to stimuli (e.g., questions posed…☆91Updated 3 years ago
- Python code to detect hate speech and classify twitter texts using NLP techniques and Machine Learning☆46Updated last year
- Detecting depressed Patient based on Speech Activity, Pauses in Speech and Using Deep learning Approach☆18Updated 2 years ago
- Real Time Facial Expression Recognition with Deep Learning with keras☆12Updated 4 years ago
- Deep Learning based research project for predicting mental state of a person.☆7Updated 4 years ago
- A baseline for Weibo User Depression Detection Dataset (WU3D)☆31Updated 2 years ago
- Project Made during Virtual Summer Internship under leadingindia.ai and BENNETT UNIVERSITY.☆92Updated 2 years ago
- Text Sentiment Analysis in Python using Natural Language Processing (NLP) for Negative/Positive Content Detection. Deployed on the Cloud …☆29Updated 4 years ago
- A ML project specifically build for predicting students' mental health☆23Updated 2 years ago
- Deep Learning for Suicide and Depression Identification with Unsupervised Label Correction (ICANN 2021)☆65Updated 3 years ago
- Multimodal sentiment analysis☆17Updated last year
- A streamlit python web app to analyze sentiment in a CSV file and add the sentiment values to the file.☆10Updated 2 years ago
- Building a suicidal text detection model and mental health chatbot with deep learning models and transformers.☆32Updated last year
- Detecting depression in a conversation using Convolutional Neral Network☆68Updated 3 years ago
- Depression Detection from Speech☆33Updated 7 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…☆19Updated 4 years ago
- Covid-19 Fake News Detection System☆10Updated 3 years ago
- Multi-class sentiment analysis lstm, finetuned bert☆207Updated 5 years ago
- This project is for Fake News Detection using NLP and Machine Learning. And then Deploying it using Flask.☆22Updated 5 months ago
- Source code for the paper "Text-based Depression Detection: What Triggers An Alert"☆46Updated last year
- depression detection on sina weibo using multivariate time series data☆10Updated last year
- This is a python project that is used to identify hate speech in tweets. The dataset used to train the model is available on Kaggle and c…☆29Updated 2 years ago
- Source code for paper Multi-Task Learning for Depression Detection in Dialogs (SIGDial 2022)☆10Updated last month