ANALYSIS OF MESSAGES IN SOCIAL MEDIA, IDENTIFICATION OF SUICIDAL TYPES

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ISSN: 2349-6002 ESTD Year: 2014

UGC approved journal no 47859

ANALYSIS OF MESSAGES IN SOCIAL MEDIA, IDENTIFICATION OF SUICIDAL TYPES
Author(s):
N V S Sowjanya, P Tejaswi, D Sai Lakshmi, N Sai Prasanthi, B Lokesh Surya Vamsi
Keywords:
suicidal tendencies, neural network, groups of death, machine learning
Abstract
This project describes content analysis of text with to identify suicidal tendencies and types. This article also describes how to make a sentence classifier that uses a neural network created using various libraries created for machine learning in the Python programming language. Attention is paid to the problem of teenage suicide and «groups of death» in social networks, the search for ways to stop the propaganda of suicide among minors. Analysis of existing information about so-called «groups of death» and its distribution on the Internet.
Article Details
Unique Paper ID: 152712 Publication Volume & Issue: Volume 8, Issue 4 Page(s): 151 - 154
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