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32.81
B75
Bolatbek, M. A
Creating the dataset of keywords for detecting an extremist orientation inweb-resources in the Kazakh language [Текст] / M.A Bolatbek // Әл - Фараби ат. ҚҰУ Хабаршы = Вестник КазНУ им Аль - Фараби. - Алматы, 2018. - №1(97). - Р. 134-142. - (Математика, механика, информатика сериясы=Серия математика, механика, информатика. Journal of Mathematics, Mechanics, Computer Science.)
ББК 32.81
Рубрики: Информатика
Кл.слова (ненормированные):
экстремистские тексты -- частота терминов -- классификация текста -- эмоциональные оценка
Аннотация: This paper is part of the research on creating semantic analysis models in web resources for definingan extremist orientation in the text. To solve this task a model was created, which consists of fivestages: identifying websites of an extremist groups, preparing for data extraction, data extraction,data analysis and classification. This work presents the results of data analysis stage of abovementioned model. The purpose of this study is to identify keywords, often used by extremists,which will later be used to classify texts to "extremist" and "neutral" categories using machinelearning methods. There is no such database for the Kazakh language. As the result of this studyan experimental corpus and list of keywords in Kazakh language was created. The keywords wereadded to the database with various morphological variants. The program was built that checksfor the presence of extremist keywords in the given input text and displays the words found.
Держатели документа:
ЗКГУ
Доп.точки доступа:
Mussiraliyeva, Sh.Zh
Tukeyev, U.A
B75
Bolatbek, M. A
Creating the dataset of keywords for detecting an extremist orientation inweb-resources in the Kazakh language [Текст] / M.A Bolatbek // Әл - Фараби ат. ҚҰУ Хабаршы = Вестник КазНУ им Аль - Фараби. - Алматы, 2018. - №1(97). - Р. 134-142. - (Математика, механика, информатика сериясы=Серия математика, механика, информатика. Journal of Mathematics, Mechanics, Computer Science.)
Рубрики: Информатика
Кл.слова (ненормированные):
экстремистские тексты -- частота терминов -- классификация текста -- эмоциональные оценка
Аннотация: This paper is part of the research on creating semantic analysis models in web resources for definingan extremist orientation in the text. To solve this task a model was created, which consists of fivestages: identifying websites of an extremist groups, preparing for data extraction, data extraction,data analysis and classification. This work presents the results of data analysis stage of abovementioned model. The purpose of this study is to identify keywords, often used by extremists,which will later be used to classify texts to "extremist" and "neutral" categories using machinelearning methods. There is no such database for the Kazakh language. As the result of this studyan experimental corpus and list of keywords in Kazakh language was created. The keywords wereadded to the database with various morphological variants. The program was built that checksfor the presence of extremist keywords in the given input text and displays the words found.
Держатели документа:
ЗКГУ
Доп.точки доступа:
Mussiraliyeva, Sh.Zh
Tukeyev, U.A
Страница 1, Результатов: 1