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Suicidal Post Detection in Social Networks using NLP |
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PP: 27-30 |
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doi:10.18576/aeta/070302
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Author(s) |
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Mukhtarkhanuly Daniyar,
Alan Abishev,
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Abstract |
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| The social problem of suicide and alcoholism among youth is one of the problems, that the government currently faces.
According to statistics, Kazakhstan is in the top 10 in the world in teenage suicide and alcoholism rates, as well as in several other
social problems. An important stimulus in creating the aforementioned information system (IS) are the global trends in sociology, those
focused on research of people with the use of internet technologies. The main methodology used for the development of the IS, is the
content analysis of incoming data, because text(oral and written) reflects individual characteristics of a person like a fingerprint, as well
as voice characteristics (frequency of vowels, tone, etc.), this allows for the creation of sophisticated analytics, control of psychological
stability and observation of mood changes in youth. For this approach various prepossessing methods and machine learning algorithms
were used. |
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