title: ÐÐ±Ð½Ð°ÑÑÐ¶ÐµÐ½Ð¸Ðµ Ð±Ð¾ÑÐ¾Ð² Ð² ÑÐ¾ÑÐ¸Ð°Ð»ÑÐ½ÑÑ ÑÐµÑÑÑ Ð½Ð° Ð¾ÑÐ½Ð¾Ð²Ðµ Ð°Ð½Ð°Ð»Ð¸Ð·Ð° ÑÐµÐ¼Ð°Ð½ÑÐ¸ÐºÐ¸ Ð¸ ÑÐ¾Ð½Ð°Ð»ÑÐ½Ð¾ÑÑÐ¸ ÐºÐ¾Ð¼Ð¼ÐµÐ½ÑÐ°ÑÐ¸ÐµÐ² Ñ Ð¸ÑÐ¿Ð¾Ð»ÑÐ·Ð¾Ð²Ð°Ð½Ð¸ÐµÐ¼ Ð¼Ð¾Ð´ÐµÐ»Ð¸ LLM
title: Ð²ÑÐ¿ÑÑÐºÐ½Ð°Ñ ÐºÐ²Ð°Ð»Ð¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¾Ð½Ð½Ð°Ñ ÑÐ°Ð±Ð¾ÑÐ° ÑÐ¿ÐµÑÐ¸Ð°Ð»Ð¸ÑÑÐ°
titleType: Subtitle
title: Bot detection in social networks based on semantic and sentiment analysis of comments using LLM models
Creators: name: Ð¡Ð¾Ð»Ð´Ð°ÑÐºÐ¸Ð½, ÐÐ¸ÐºÐ¾Ð»Ð°Ð¹
Publisher: name: Ð¡Ð°Ð½ÐºÑ-ÐÐµÑÐµÑÐ±ÑÑÐ³ÑÐºÐ¸Ð¹ Ð¿Ð¾Ð»Ð¸ÑÐµÑÐ½Ð¸ÑÐµÑÐºÐ¸Ð¹ ÑÐ½Ð¸Ð²ÐµÑÑÐ¸ÑÐµÑ ÐÐµÑÑÐ° ÐÐµÐ»Ð¸ÐºÐ¾Ð³Ð¾
Year: 2025
Subjects: Ð¾Ð±ÑÐ°Ð±Ð¾ÑÐºÐ° ÐµÑÑÐµÑÑÐ²ÐµÐ½Ð½Ð¾Ð³Ð¾ ÑÐ·ÑÐºÐ°
ÑÐµÐ¼Ð°Ð½ÑÐ¸ÑÐµÑÐºÐ¸Ð¹ Ð°Ð½Ð°Ð»Ð¸Ð·
Ð°Ð½Ð°Ð»Ð¸Ð· ÑÐ¾Ð½Ð°Ð»ÑÐ½Ð¾ÑÑÐ¸
Ð¾Ð±Ð½Ð°ÑÑÐ¶ÐµÐ½Ð¸Ðµ Ð±Ð¾ÑÐ¾Ð²
ÐºÐ»Ð°ÑÑÐ¸ÑÐ¸ÐºÐ°ÑÐ¸Ñ ÑÐµÐºÑÑÐ¾Ð²
natural language processing
semantic analysis
sentiment analysis
bot detection
text classification

description: Ð¦ÐµÐ»ÑÑ ÑÐ°Ð±Ð¾ÑÑ ÑÐ²Ð»ÑÐµÑÑÑ Ð¾Ð±Ð½Ð°ÑÑÐ¶ÐµÐ½Ð¸Ðµ Ð±Ð¾ÑÐ¾Ð² Ð² ÑÐ¾ÑÐ¸Ð°Ð»ÑÐ½ÑÑ ÑÐµÑÑÑ Ð½Ð° Ð¾ÑÐ½Ð¾Ð²Ðµ Ð°Ð½Ð°Ð»Ð¸Ð·Ð° ÑÐµÐ¼Ð°Ð½ÑÐ¸ÐºÐ¸ Ð¸ ÑÐ¾Ð½Ð°Ð»ÑÐ½Ð¾ÑÑÐ¸ ÐºÐ¾Ð¼Ð¼ÐµÐ½ÑÐ°ÑÐ¸ÐµÐ² Ñ Ð¸ÑÐ¿Ð¾Ð»ÑÐ·Ð¾Ð²Ð°Ð½Ð¸ÐµÐ¼ LLM-Ð¼Ð¾Ð´ÐµÐ»Ð¸. ÐÑÐµÐ´Ð¼ÐµÑÐ¾Ð¼ Ð¸ÑÑÐ»ÐµÐ´Ð¾Ð²Ð°Ð½Ð¸Ñ ÑÐ²Ð»ÑÐµÑÑÑ Ð¼ÐµÑÐ¾Ð´Ñ Ð¸ Ð°Ð»Ð³Ð¾ÑÐ¸ÑÐ¼Ñ ÑÐµÐ¼Ð°Ð½ÑÐ¸ÑÐµÑÐºÐ¾Ð³Ð¾ Ð°Ð½Ð°Ð»Ð¸Ð·Ð° Ð¸ Ð°Ð½Ð°Ð»Ð¸Ð·Ð° ÑÐ¾Ð½Ð°Ð»ÑÐ½Ð¾ÑÑÐ¸, Ñ Ð¸ÑÐ¿Ð¾Ð»ÑÐ·Ð¾Ð²Ð°Ð½Ð¸ÐµÐ¼ ÑÐ¾Ð²ÑÐµÐ¼ÐµÐ½Ð½ÑÑ ÑÐ·ÑÐºÐ¾Ð²ÑÑ Ð¼Ð¾Ð´ÐµÐ»ÐµÐ¹. ÐÐ°Ð´Ð°ÑÐ¸, ÑÐµÑÐ°ÐµÐ¼ÑÐµ Ð² ÑÐ¾Ð´Ðµ Ð¸ÑÑÐ»ÐµÐ´Ð¾Ð²Ð°Ð½Ð¸Ñ: 1. ÐÐ»Ð°ÑÑÐ¸ÑÐ¸ÑÐ¸ÑÐ¾Ð²Ð°ÑÑ ÑÐ¸Ð¿Ñ Ð±Ð¾ÑÐ¾Ð², Ð¸ÑÐ¿Ð¾Ð»ÑÐ·ÑÐµÐ¼ÑÑ Ð² ÑÐ¾ÑÐ¸Ð°Ð»ÑÐ½ÑÑ ÑÐµÑÑÑ. 2. ÐÑÐ¾Ð°Ð½Ð°Ð»Ð¸Ð·Ð¸ÑÐ¾Ð²Ð°ÑÑ Ð¼ÐµÑÐ¾Ð´Ñ Ð¼Ð°ÑÐ¸Ð½Ð½Ð¾Ð³Ð¾ Ð¾Ð±ÑÑÐµÐ½Ð¸Ñ, Ð¸ÑÐ¿Ð¾Ð»ÑÐ·ÑÐµÐ¼ÑÐµ Ð´Ð»Ñ Ð¾Ð±Ð½Ð°ÑÑÐ¶ÐµÐ½Ð¸Ñ Ð±Ð¾ÑÐ¾Ð². 3. ÐÑÐ¾Ð°Ð½Ð°Ð»Ð¸Ð·Ð¸ÑÐ¾Ð²Ð°ÑÑ Ð¼ÐµÑÐ¾Ð´Ñ Ð¾Ð±ÑÐ°Ð±Ð¾ÑÐºÐ¸ ÐµÑÑÐµÑÑÐ²ÐµÐ½Ð½Ð¾Ð³Ð¾ ÑÐ·ÑÐºÐ°. 4. Ð Ð°Ð·ÑÐ°Ð±Ð¾ÑÐ°ÑÑ Ð¸ Ð¿ÑÐ¾ÑÐµÑÑÐ¸ÑÐ¾Ð²Ð°ÑÑ ÑÐ¿Ð¾ÑÐ¾Ð± Ð¾Ð±Ð½Ð°ÑÑÐ¶ÐµÐ½Ð¸Ñ Ð±Ð¾ÑÐ¾Ð² Ð² ÑÐ¾ÑÐ¸Ð°Ð»ÑÐ½ÑÑ ÑÐµÑÑÑ Ð½Ð° Ð¾ÑÐ½Ð¾Ð²Ðµ Ð°Ð½Ð°Ð»Ð¸Ð·Ð° ÑÐµÐ¼Ð°Ð½ÑÐ¸ÐºÐ¸ Ð¸ ÑÐ¾Ð½Ð°Ð»ÑÐ½Ð¾ÑÑÐ¸ ÐºÐ¾Ð¼Ð¼ÐµÐ½ÑÐ°ÑÐ¸ÐµÐ² Ñ Ð¸ÑÐ¿Ð¾Ð»ÑÐ·Ð¾Ð²Ð°Ð½Ð¸ÐµÐ¼ Ð¼Ð¾Ð´ÐµÐ»Ð¸ LLM. Ð ÑÐ¾Ð´Ðµ ÑÐ°Ð±Ð¾ÑÑ Ð±ÑÐ»Ð¸ Ð¸ÑÑÐ»ÐµÐ´Ð¾Ð²Ð°Ð½Ñ Ð¼ÐµÑÐ¾Ð´Ñ Ð´Ð»Ñ Ð¾Ð±Ð½Ð°ÑÑÐ¶ÐµÐ½Ð¸Ñ Ð±Ð¾ÑÐ¾Ð² Ð² ÑÐ¾ÑÐ¸Ð°Ð»ÑÐ½ÑÑ ÑÐµÑÑÑ, Ð¼ÐµÑÐ¾Ð´Ñ Ð¾Ð±ÑÐ°Ð±Ð¾ÑÐºÐ¸ ÐµÑÑÐµÑÑÐ²ÐµÐ½Ð½Ð¾Ð³Ð¾ ÑÐ·ÑÐºÐ°. Ð ÑÐµÐ·ÑÐ»ÑÑÐ°ÑÐµ ÑÐ°Ð±Ð¾ÑÑ Ð±ÑÐ» ÑÐ°Ð·ÑÐ°Ð±Ð¾ÑÐ°Ð½ Ð¿ÑÐ¾Ð³ÑÐ°Ð¼Ð¼Ð½ÑÐ¹ ÐºÐ¾Ð¼Ð¿Ð¾Ð½ÐµÐ½Ñ, Ð¾Ð±ÑÐµÐ´Ð¸Ð½ÑÑÑÐ¸Ð¹ Ð°Ð½Ð°Ð»Ð¸Ð· ÑÐµÐ¼Ð°Ð½ÑÐ¸ÐºÐ¸ Ð¸ ÑÐ¾Ð½Ð°Ð»ÑÐ½Ð¾ÑÑÐ¸, Ð´Ð»Ñ ÐºÐ»Ð°ÑÑÐ¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¸ ÐºÐ¾Ð¼Ð¼ÐµÐ½ÑÐ°ÑÐ¸ÐµÐ². ÐÑÐ¾Ð²ÐµÐ´ÐµÐ½Ñ ÑÐºÑÐ¿ÐµÑÐ¸Ð¼ÐµÐ½ÑÑ Ñ ÑÐ°Ð·Ð»Ð¸ÑÐ½ÑÐ¼Ð¸ Ð¼Ð¾Ð´ÐµÐ»ÑÐ¼Ð¸ Ð¼Ð°ÑÐ¸Ð½Ð½Ð¾Ð³Ð¾ Ð¾Ð±ÑÑÐµÐ½Ð¸Ñ Ð¸ Ð¾ÑÐµÐ½ÐµÐ½Ð° Ð¸Ñ ÑÑÑÐµÐºÑÐ¸Ð²Ð½Ð¾ÑÑÑ.
description: The purpose of the study is to detect bots in social networks based on the analysis of semantics and tonality of comments using the LLM model. The subject of the work is the methods and algorithms of semantic analysis and sentiment analysis, using modern language models. The research set the following goals: 1. Classify the types of bots used in social networks. 2. Analyze the machine learning methods used to detect bots. 3. Analyze the methods of natural language processing. 4. Develop and test a method for detecting bots in social networks based on the analysis of semantics and sentiment of comments using the LLM model. During the work methods for detecting bots in social networks and methods for processing natural language were investigated. The work resulted is a software component for data processing, semantic and tonality analysis, training models and evaluating their effectiveness. is a software component for data processing, semantic and tonality analysis, training models and evaluating their effectiveness.