peijoy / DetectDepressionInTwitterPosts
Detect depression in tweets using Keras
☆32Updated 5 years ago
Alternatives and similar repositories for DetectDepressionInTwitterPosts:
Users that are interested in DetectDepressionInTwitterPosts are comparing it to the libraries listed below
- Detecting Depression in Tweets using Baye's Theorem☆54Updated 5 years ago
- Sentiment Analysis using Python, Twitter API and Hive☆37Updated 7 years ago
- The first asian machine learning in Jeju Island, South Korea - Project☆70Updated 4 years ago
- Depression Detection Using Twitter Data - Group project for Udacity Private & Secure AI Project Showcase☆49Updated 2 years ago
- Detect Depression from Social Network Using Deep learning☆26Updated 6 years ago
- depression detection by using tweets☆28Updated 6 years ago
- ☆13Updated 3 years ago
- Python code for Depression Detection using variuos machine learning algorithms and Twitter dataset for detecting depression from sentimen…☆23Updated 3 years ago
- Project using Naive Bayes, SVM, CNN, LSTM, etc.☆16Updated 3 years ago
- Detect depression on social media using the ssToT method introduced in our ASONAM 2017 paper titled "Semi-Supervised Approach to Mon…☆68Updated 6 years ago
- Deep learning model of depression detection from activity sensor data☆13Updated 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…☆20Updated 4 years ago
- Final Group ProjeDetecting Human Emotions Using Natural Language Processing UCB Data Analytics☆21Updated 6 months ago
- NLP-Project-Fake-News-Detection☆20Updated 5 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
- 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
- Identifying depression based on texts☆46Updated 6 years ago
- Multi-class sentiment analysis lstm, finetuned bert☆213Updated 5 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
- Detect hate speech in tweets☆9Updated 5 years ago
- Exploring NLP libraries...☆21Updated 6 years ago
- Multi Emotion Detection from COVID-19 Text using BERT☆19Updated 8 months ago
- Detecting whether a particular tweet contains negative emotions attached with it or not from the given dataset☆25Updated 4 years ago
- Twitter Sentiment Analysis & Extraction for COVID-19☆13Updated 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
- This is text based sentiment detection app . It classifies the given text to either Positive or Negative or Neutral.☆10Updated 2 years ago
- Code and Dataset☆12Updated 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
- Source code for the paper "Text-based Depression Detection: What Triggers An Alert"☆46Updated last year