{"title":"一种基于电报频道数据的对新闻反应的智能分析和预测系统","authors":"O. Y. Kosukha, I. Shevchuk","doi":"10.17721/2706-9699.2022.2.07","DOIUrl":null,"url":null,"abstract":"This research paper provides a description of the system of intellectual analysis and prediction of reactions to news based on data from Telegram channels. In particular, the features of collecting and pre-processing datasets for the system, the methodology of thematic analysis of the received data, and the model used to obtain predictions of reactions to Telegram messages depending on their text are described.","PeriodicalId":40347,"journal":{"name":"Journal of Numerical and Applied Mathematics","volume":"1 1","pages":""},"PeriodicalIF":0.1000,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A SYSTEM OF INTELLECTUAL ANALYSIS AND PREDICTION OF REACTIONS TO NEWS BASED ON DATA FROM TELEGRAM CHANNELS\",\"authors\":\"O. Y. Kosukha, I. Shevchuk\",\"doi\":\"10.17721/2706-9699.2022.2.07\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This research paper provides a description of the system of intellectual analysis and prediction of reactions to news based on data from Telegram channels. In particular, the features of collecting and pre-processing datasets for the system, the methodology of thematic analysis of the received data, and the model used to obtain predictions of reactions to Telegram messages depending on their text are described.\",\"PeriodicalId\":40347,\"journal\":{\"name\":\"Journal of Numerical and Applied Mathematics\",\"volume\":\"1 1\",\"pages\":\"\"},\"PeriodicalIF\":0.1000,\"publicationDate\":\"2022-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Numerical and Applied Mathematics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.17721/2706-9699.2022.2.07\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Numerical and Applied Mathematics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.17721/2706-9699.2022.2.07","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A SYSTEM OF INTELLECTUAL ANALYSIS AND PREDICTION OF REACTIONS TO NEWS BASED ON DATA FROM TELEGRAM CHANNELS
This research paper provides a description of the system of intellectual analysis and prediction of reactions to news based on data from Telegram channels. In particular, the features of collecting and pre-processing datasets for the system, the methodology of thematic analysis of the received data, and the model used to obtain predictions of reactions to Telegram messages depending on their text are described.
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