Neural network based suicidal behavior detection on twitter / Ghelmar V. Astoveza, Randolph Jay P. Obias and Roi Jed L. Palcon

By: Contributor(s): Material type: TextTextPublication details: Manila : National University, 2018Description: 53 leaves ; 28 cmLOC classification:
  • UGT CCIT BSCS-DF .A88 2018
Contents:
Preliminaries -- Chapter I - Introduction -- Chapter II - Related literature and studies -- Chapter III - Research design and methodology -- Chapter IV - Results and discussion -- Chapter V - Summary of findings conclusion and recommendations.
Summary: In this modern age, about half of the world's population dwells on the internet. Together with the growing issues of suicide at hand and as the social media sites grow in popularity, Twitter and other social media platforms are increasingly associated with cyber bullying and in some extreme cases teen suicide.
Item type: Thesis
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Includes bibliographical references.

Preliminaries -- Chapter I - Introduction -- Chapter II - Related literature and studies -- Chapter III - Research design and methodology -- Chapter IV - Results and discussion -- Chapter V - Summary of findings conclusion and recommendations.

In this modern age, about half of the world's population dwells on the internet. Together with the growing issues of suicide at hand and as the social media sites grow in popularity, Twitter and other social media platforms are increasingly associated with cyber bullying and in some extreme cases teen suicide.

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