Sentiment Analysis of Serious Suicide References in Twitter Social Network

Wael Korani, Malek Mouhoub

Abstract

Sentiment analysis analyzes people emotions, attitudes, and opinion towards organizations, services, issues, and individuals. Opinions are the core of almost all human activities because they consider a significant influencers of our behaviors. With the growing popularity of social media applications (micro-blogs, twitter, comments, etc), users of these platforms express their emotions through their posts and comments. Suicide is one of these dangerous emotions that threaten the public health of Canadians, and mortality form suicide is the third leading cause of death in teenage. In this paper, we propose a suicide classifier system called Auto Twitter Suicide Detector System (ATSDS) that provides support to authorities to take appropriate actions in order to protect communities from such kind of thoughts. The proposed twitter suicide detector system is a classifier system using data gathered from twitter to detect those related to suicide. Our system is built using deep neural network on multi-purpose cluster computing system called spark. In order to asses the system performance, in terms of accuracy, we have conducted several experiments and tuned neural network parameters to achieve higher performance. The results returned are very promising.

Download


Paper Citation


in Harvard Style

Korani W. and Mouhoub M. (2020). Sentiment Analysis of Serious Suicide References in Twitter Social Network.In Proceedings of the 12th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART, ISBN 978-989-758-395-7, pages 339-346. DOI: 10.5220/0008894003390346


in Bibtex Style

@conference{icaart20,
author={Wael Korani and Malek Mouhoub},
title={Sentiment Analysis of Serious Suicide References in Twitter Social Network},
booktitle={Proceedings of the 12th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART,},
year={2020},
pages={339-346},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0008894003390346},
isbn={978-989-758-395-7},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 12th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART,
TI - Sentiment Analysis of Serious Suicide References in Twitter Social Network
SN - 978-989-758-395-7
AU - Korani W.
AU - Mouhoub M.
PY - 2020
SP - 339
EP - 346
DO - 10.5220/0008894003390346