CREATION OF A DICTIONARY OF KEYWORDS FOR A CLASSIFIER OF TEXTS CONTAINING DANGEROUS CONTENT IN THE CYBERSPACE OF KAZAKHSTAN
Keywords:
natural language processing, sentiment analysis, machine learning, term frequency, text classificationAbstract
This work is part of a study on the creation of an information system for searching dangerous content in the cyberspace of Kazakhstan. The aim of the study is to create a dictionary of keywords for the work of a classifier of texts containing dangerous content, using the example of the problem of identifying the presence of a suicidal risk in the texts of suicide notes and groups of suicidal. There is no such database for the Kazakh language. As a result of this research, an experimental corpus and a list of keywords in the Kazakh language were created. Keywords have been added to the database with various morphological forms.
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