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Suicide Rate Data Analysis

Social Media platform such as Twitter is mined to obtain data regarding Suicidal Instincts (modules can extended to any other data mining application)

From growing up in the heart of Silicon Valley, I have always wondered what was the factors that play a role in Suicide. There have been a plethora of suicide clusters from my High School in Palo Alto. This project seeks to explore the underlying factors. We will use a sample of 44,000 gather data from 141 different Countries, between the 80's …

Statistical analysis to identify the key factors that attribute to the progression of depressive symptoms

To categorize tweets according to the severity level of suicidal intentions expressed in tweets’ text.

Modelo para determinar la probabilidad de un suicidio en la ciudad de Medellin.

Detection of phrases in Spanish with a suicidal tendency in social networks

This dashboard is intended to provide some general insight on the delicate matter of suicides all over the world based on a dataset with data that range from 1985 to 2015 for every country accounting for sex, age and economic variables such as per capita GDP.

This repo contains the analysis of suicide data over years implemented through streamlit

Clustering of suicidal / non-suicidal poets using k-means and PSO

The time series analysis of the search keyword 'how to suicide' in Thai by Google Trend

This repo contains the analysis of suicide data over years .

A in depth view of country development indicators and the impact of these features against suicide rates and happiness scores worldwide.

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.