Deep Learning for Suicide and Depression Identification with Unsupervised Label Correction (ICANN 2021)
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Updated
Aug 23, 2021 - Python
Deep Learning for Suicide and Depression Identification with Unsupervised Label Correction (ICANN 2021)
A visual representation of depressive thoughts.
Using Artificial Intelligence to distinguish between suicidal and depressive messages (4th Place Congressional App Challenge)
Visualizing suicide data with javascript libraries
A social chatbot for people in depression and suicidal condition.
Statistics for Suicide Analysis for all the countries in the world using Machine Learning Algorithms to find some interesting patterns, solutions and Clues about Suicides using Data Analysis and Data Visualizations
Lend a Hand is a Chrome extension to detect whether user is searching for or posting suicidal ideation on social media and interrupts their train of thought to provide helpful resources. Part of the #ColorALife project.
Data Analysis of suicides in India
This repo contains my final work for my class in Natural Language Processing, part of the MSc in Data Science and Business Analytics @ Bocconi University
never alone is a webpage created to list hotline numbers and suicide prevention resources while providing accessiblity
The baseline code for the CLPsych 2021 Shared Task.
A basic machine learning project for studying and analysing WHO suicide statistics collected since 1979. We used python as the programming language, Spider as the IDE for coding, and such well-known libraries as Numpy (for using mathematical functions and working with arrays), Pandas (for analyzing data from files), matplotlib (for visualizing d…
Repository for Data Mining Approach to the Detection of Suicide in Social Media: A Case Study of Singapore
Utilizing information regarding US Veteran Suicide Rates over the years for interpreting crucial data.
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