Publication: News Aggregator from Telegram Channels Using Thematic Text Analysis
Дата
2021
Авторы
Latypov, I. V.
Ehlakov, E. V.
Ivanov, N.
Smirnov, E. F.
Khramov, I. Y.
Ехлаков, Эдуард Владимирович
Journal Title
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Издатель
Аннотация
© 2021 IEEE.This research observes the process of creating a telegram bot that will simulate a news feed from Russian-language telegram channels based on the interests of the user. Among the tasks of the research were the implementation of comparison of documents similarity, developing parsing system, the design of the bot and algorithms for selecting articles using thematic analysis, which is carried out using a multinomial naive Bayesian classifier. As a result, the analogue of news and posted messages feed in telegram was created. In addition, analysis of performance and complexity of algorithms were executed.
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Цитирование
News Aggregator from Telegram Channels Using Thematic Text Analysis / Latypov, I.V. [et al.] // Proceedings of the 2021 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering, ElConRus 2021. - 2021. - P. 2150-2153. - 10.1109/ElConRus51938.2021.9396536
URI
https://www.doi.org/10.1109/ElConRus51938.2021.9396536
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https://openrepository.mephi.ru/handle/123456789/23997
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https://openrepository.mephi.ru/handle/123456789/23997