News Aggregator from Telegram Channels Using Thematic Text Analysis
Igor V. Latypov, Eduard V. Ehlakov, Nikita S. Ivanov, Egor F. Smirnov, Ivan Yu. Khramov · 2021
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.