Timur Buldybayev
5 Papers
4 Citations
Timur Buldybayev is an academic researcher. The author has contributed to research in topics: Topic model & Text corpus. The author has an hindex of 2, co-authored 5 publications.
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Papers
The use of machine learning “black boxes” explanation systems to improve the quality of school education
Ravil I. Muhamedyev,Kirill Yakunin,Y. I. Kuchin,Adilkhan Symagulov,Timur Buldybayev,Sanzhar Murzakhmetov,A. Abdurazakov +6 more
TL;DR: Development of a multi-criteria decision support system (MCDSS) to improve the quality of school education is described and the positive impact of the location of the school, ratio of experienced teachers, sports, technical and art studios on Q-Edu indicators is revealed.
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KazNewsDataset: Single Country Overall Digital Mass Media Publication Corpus
Kirill Yakunin,Maksat Kalimoldayev,Ravil I. Mukhamediev,Rustam Mussabayev,V. B. Barakhnin,Yan Kuchin,Sanzhar Murzakhmetov,Timur Buldybayev,Ulzhan Ospanova,Marina Yelis,Akylbek Zhumabayev,Viktors I. Gopejenko,Zhazirakhanym Meirambekkyzy,Alibek Abdurazakov +13 more
- 14 Mar 2021
TL;DR: In this article, the authors present a corpus of Kazakhstan media, which contains over 4 million publications from 36 primary sources (which has at least 500 publications), including more than 2 million texts of Russian media for comparative analysis of publication activity of the countries, also about 4000 sections of state policy documents.
5
Classification of negative publication in mass media using topic modeling
Kirill Yakunin,Ravil I. Mukhamediev,Yan Kuchin,Rustam Musabayev,Timur Buldybayev,Sanzhar Murzakhmetov +5 more
- 01 Jan 2021
TL;DR: The proposed method for evaluating text documents by arbitrary criteria, combining the topic modeling on the text corpora and multiple-criteria decision making, was applied to a corpus of news publications from 40 Kazakhstani sources in order to classify negative information on socially significant topics.
3
Mass Media Evaluation Using Topic Modelling
Kirill Yakunin,Ravil I. Mukhamediev,Ravil I. Mukhamediev,Rustam Mussabayev,Timur Buldybayev,Yan Kuchin,Sanzhar Murzakhmetov,Rassul Yunussov,Ulzhan Ospanova +8 more
- 17 Jun 2020
TL;DR: In this article, an approach is proposed, which allows to classify the most important/positive/negative/resonant topics and publications, and to analyze their dynamic characteristics, which is not based on manual creation of keyword dictionary, or labelling of big amounts of documents and allows to evaluate documents according to arbitrary criterion.
3
Classification of Negative Information on Socially Significant Topics in Mass Media
Ravil I. Mukhamediev,Kirill Yakunin,Rustam Mussabayev,Timur Buldybayev,Yan Kuchin,Sanzhar Murzakhmetov,Marina Yelis +6 more
TL;DR: A method for evaluating the media in several modalities (topics, evaluation criteria/properties, classes), combining topic modeling of the text corpora and multiple-criteria decision making is proposed.