Suicidal Ideation Detection in Online User Content
-
Updated
Feb 12, 2020 - Python
#
suicidal-ideation
Here are 11 public repositories matching this topic...
This is an implementation of the attention-based hybrid architecture (Ghosh et al, 2023) for suicide/depressive social media notes detection.
machine-learning social-network machine-learning-algorithms attention depression social-network-analysis attention-mechanism suicidal-ideation suicide-prevention depression-detection suicide-detection
-
Updated
Jan 24, 2024 - Jupyter Notebook
To categorize tweets according to the severity level of suicidal intentions expressed in tweets’ text.
python machine-learning data-mining twitter sentiment-analysis numpy scikit-learn pandas nltk classification tweepy preprocessing prediction-model stop-words world-health-organization twitter-developers suicidal-ideation suicide-prevention suicide-data
-
Updated
Nov 18, 2020 - Python
THIS IS FIGHT CLUB. Truth. Justice. Discipline. Elegance. Minors: use only for emergencies. Click the wiki link on the third line of this page if you're not a hacker and don't understand what a repo is.
-
Updated
Aug 9, 2025
Detection of phrases in Spanish with a suicidal tendency in social networks
machine-learning classification phrase pln suicide spanish-language suicidal-ideation suicide-prevention
-
Updated
Mar 20, 2021 - HTML
This repository includes files of work for Suicidal Ideation detection based on social media dataset using semantic, contextual and graph neural network based hybrid approach
social-media lstm deep-learning-algorithms deep-neural-network suicidal-ideation graph-neural-network semantic-approach contextual-approach
-
Updated
May 25, 2024 - Jupyter Notebook
love mental-health prevention memorial suicide mental-health-awareness suicidal-ideation suicide-prevention
-
Updated
Oct 7, 2018 - TypeScript
Open-source suicidal-ideation reference model with NSDUH 2024 fresh-data validation, CSV scoring, and governance docs.
-
Updated
May 10, 2026 - Python
This repository focuses on detecting suicidal ideation on Twitter using NLP and ML models, including Logistic Regression, SVM, RF, MNB, Ensemble Learning, AdaBoost, LSTM, GRU, CNN, and BERT. This project aims to identify individuals who may be at risk of suicide and contribute to suicide prevention efforts.
nlp flask grunt machine-learning natural-language-processing web-development deep-learning twitter-api text-classification tensorflow artificial-intelligence lstm twitter-sentiment-analysis mental-health suicidal-ideation suicide-prevention bert-model xlnet suicide-dataset
-
Updated
Mar 30, 2025 - Jupyter Notebook
Reproducible temporal-validation pipeline for suicidal-ideation prediction in employed U.S. adults across 2015-2023 NSDUH data.
machine-learning reproducible-research mental-health suicidal-ideation nsduh psychiatric-epidemiology temporal-validation
-
Updated
May 10, 2026 - Python
🛡️ Classify text messages for suicide risk with a FastAPI service, enabling timely interventions using a 93.33% accurate machine learning model.
python machine-learning r ai scikit-learn lstm ensemble-learning depression social-network-analysis attention-mechanism gradient-boosting-classifier bert svm-classifier suicidal-ideation fastapi depression-detection huggingface-transformer suicide-detection
-
Updated
Sep 7, 2026 - Jupyter Notebook
Add this topic to your repo
To associate your repository with the suicidal-ideation topic, visit your repo's landing page and select "manage topics."