使用主题文本分析的电报频道新闻聚合器

2021 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering (ElConRus) Pub Date : 2021-01-26 DOI:10.1109/ElConRus51938.2021.9396536

Igor V. Latypov, Eduard V. Ehlakov, N. Ivanov, Egor F. Smirnov, Ivan Yu. Khramov

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引用次数: 1

摘要

本研究观察了创建一个电报机器人的过程，该机器人将根据用户的兴趣模拟俄语电报频道的新闻提要。研究任务包括文档相似度比较的实现、分析系统的开发、机器人的设计以及利用主题分析进行文章选择的算法，其中主题分析使用多项朴素贝叶斯分类器进行。因此，在电报中创建了类似新闻和发布消息的feed。此外，还对算法的性能和复杂度进行了分析。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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News Aggregator from Telegram Channels Using Thematic Text Analysis

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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来源期刊

2021 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering (ElConRus)

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