Building a suicidal text detection model and mental health chatbot with deep learning models and transformers.
-
Updated
Apr 6, 2023 - Jupyter Notebook
Building a suicidal text detection model and mental health chatbot with deep learning models and transformers.
hotline resources for transgender people
This is an implementation of the attention-based hybrid architecture (Ghosh et al, 2023) for suicide/depressive social media notes detection.
Predicting suicidal ideation on Reddit using machine learning and DistillBERT
To categorize tweets according to the severity level of suicidal intentions expressed in tweets’ text.
Statistical analysis to identify the key factors that attribute to the progression of depressive symptoms
UEDU: Mental health distress signal detection in student writing using psycholinguistic NLP. 40 features, XGBoost, Glass Box explainable engine. 100% local, no cloud AI needed.
Social Media platform such as Twitter is mined to obtain data regarding Suicidal Instincts (modules can extended to any other data mining application)
Repository for Data Mining Approach to the Detection of Suicide in Social Media: A Case Study of Singapore
Cove brings all critical information into one location for ease of access when experiencing a suicidal crisis. This digital version of a safety plan is accessible online and offline, leveraging Angular for its front-end and a serverless AWS Amplify backend.
Detection of phrases in Spanish with a suicidal tendency in social networks
Windows Suicide Prevention Protocol, to stop you or anyone from suicides or act as a parental control
An open protocol, eval suite, and guardian for crisis-safe AI conversation. Public domain (CC0).
Creating a classifier that can detect suicidal intent based on dataset from Kaggle where reddit posts from r/SuicideWatch and r/Depression has been gathered (IN PROGRESS)
A in depth view of country development indicators and the impact of these features against suicide rates and happiness scores worldwide.
An interactive map that plots U.S. CDC suicide rate and population data on a county level built with React and Python.
A comparison of three discriminative machine learning models (Logistic Regression, Long Short-term Memory, Transfoermer) to determine which is best suited for suicide ideation detection
Add a description, image, and links to the suicide-prevention topic page so that developers can more easily learn about it.
To associate your repository with the suicide-prevention topic, visit your repo's landing page and select "manage topics."