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.
☆16Updated 2 years ago
Related projects ⓘ
Alternatives and complementary repositories for Sentiment-Analysis-for-Depression-Detection
- Deep Learning based research project for predicting mental state of a person.☆7Updated 4 years ago
- Python code for Depression Detection using variuos machine learning algorithms and Twitter dataset for detecting depression from sentimen…☆21Updated 3 years ago
- Voice stress analysis (VSA) aims to differentiate between stressed and non-stressed outputs in response to stimuli (e.g., questions posed…☆89Updated 3 years ago
- depression detection by using tweets☆23Updated 5 years ago
- Detecting Anxiety and Depression using facial emotion recognition and speech emotion recognition. Written in pythonPython☆54Updated 3 years ago
- This project, part of a Natural Language Processing course at Aarhus University, employs Python and NLP tools to analyze Reddit data over…☆0Updated 7 months ago
- Detecting depressed Patient based on Speech Activity, Pauses in Speech and Using Deep learning Approach☆17Updated last year
- Detecting whether a particular tweet contains negative emotions attached with it or not from the given dataset☆25Updated 4 years ago
- Multi-class sentiment analysis lstm, finetuned bert☆206Updated 4 years ago
- A ML project specifically build for predicting students' mental health☆23Updated 2 years ago
- Detecting depression in a conversation using Convolutional Neral Network☆64Updated 3 years ago
- Deep learning model of depression detection from activity sensor data☆13Updated 2 years ago
- ML Model using NLP and Sentiment Analysis.☆9Updated last year
- Depression Detection from Speech☆30Updated 7 years ago
- Speech-based diagnosis of depression☆26Updated 3 years ago
- This consists in using a variety of social networks data, including both images and texts, to detect early signs of depression.☆10Updated last year
- Detect depression in tweets using Keras☆32Updated 4 years ago
- Project Made during Virtual Summer Internship under leadingindia.ai and BENNETT UNIVERSITY.☆90Updated last year
- It is important for insurance companies to estimate the risk involved while covering a future customer. Predicting the chances of insuran…☆13Updated 5 years ago
- The first asian machine learning in Jeju Island, South Korea - Project☆69Updated 4 years ago
- Project using Naive Bayes, SVM, CNN, LSTM, etc.☆15Updated 3 years ago
- Depression Detection Using Twitter Data - Group project for Udacity Private & Secure AI Project Showcase☆46Updated last year
- Mental health chatbot developed in RASA Framework, to analyze person's chances of mental illness on the basis of a survey questionnaire. …☆48Updated 3 years ago
- This is a Text Analysis App which can be used to find a detailed analysis of a particular text. This includes 5 main types of Analysis - …☆27Updated 2 years ago
- Official source code for the paper: "It’s Just a Matter of Time: Detecting Depression with Time-Enriched Multimodal Transformers"☆46Updated 9 months ago
- Machine learning-based application for predicting the injury recovery time period a sports person based on injury type and diet plan.☆22Updated 5 years ago
- Building a suicidal text detection model and mental health chatbot with deep learning models and transformers.☆30Updated last year
- Twitter tweets play an important role in every organisation. This project is based on analysing the English tweets and categorizing the t…☆14Updated 4 years ago
- Fake News Classification WebApp using Flask & Python☆69Updated last year