以表情驱动的情感分析用于社交机器人检测,使用关系图卷积网络
Kaqian Zeng1, Zhao Li1, Xiujuan Wang1
1College of Computer Science, Beijing University of Technology, Beijing 100124, China.
Sensors (Basel, Switzerland)
|July 12, 2025
概括
这项研究介绍了ESA-BotRGCN,这是通过分析表情符号语义和情绪来检测恶意社交机器人的新框架. 该方法通过利用多模式特征和图形卷积网络显著提高了机器人检测的准确性.
科学领域:
- 计算机科学 计算机科学
- 人工智能的人工智能
- 网络安全 网络安全
背景情况:
- 恶意社交机器人威胁网络安全和在线信息完整性.
- 当前的机器人检测方法往往忽视了用户生成文本中的表情符号的语义和情感内容.
- 表情符号为区分真实和自动化的社交媒体活动提供了有价值的线索.
研究的目的:
- 提出ESA-BotRGCN,一个以表情符号为驱动的多模式框架,用于增强社交机器人检测.
- 整合语义增强,情感分析和多维特征建模以提高准确性.
- 通过结合基于emoji的情感和语义线索来解决现有方法的局限性.
主要方法:
- 建立了表情符号-文本映射,并使用GPT-4来实现文本连贯性,通过RoBERTa.Ta生成推特嵌入.
- 提取了七个基于情感的特征来量化机器人和人类之间的情绪表达差异.
- 采用注意力门机制,将情绪特征与用户描述,推特内容和网络拓学结合起来,使用关系图卷积网络 (RGCN).
主要成果:
- 在TwiBot-20基准数据集上实现了87.46%的卓越准确度.
- 显著超过现有的基线机器人检测模型.
- 验证了以表情符号为驱动的语义和情感增强策略在提高检测性能方面的有效性.
结论:
- 拟议的ESA-BotRGCN框架在社交机器人检测方面表现出卓越的表现.
- 整合emoji语义和情绪分析对于强大的机器人检测系统至关重要.
- 多模式方法有效地模拟异构的社交网络拓,以加强网络安全.
更多相关视频
08:53Integrating Computerized Linguistic and Social Network Analyses to Capture Addiction Recovery Capital in an Online Community
Published on: May 31, 2019
5.3K
05:47Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
Published on: June 13, 2025
587
相关概念视频
Sequence Networks of Rotating Machines
147
A Y-connected synchronous generator, grounded through a neutral impedance, is designed to produce balanced internal phase voltages with only positive-sequence components. The generator's sequence networks include a source voltage that is exclusively in the positive-sequence network. The sequence components of line-to-ground voltages at the generator terminals illustrate this configuration.
Zero-sequence current induces a voltage drop across the generator's neutral impedance and other...
Zero-sequence current induces a voltage drop across the generator's neutral impedance and other...
147
Ogive Graph
5.9K
An ogive graph is sometimes called a cumulative frequency polygon. It is one type of frequency polygon that shows cumulative frequency. In other words, the cumulative percentages are added to the graph from left to right. An ogive graph plots cumulative frequency on the vertical y-axis and class boundaries along the horizontal x-axis. It’s very similar to a histogram; only instead of rectangles, an ogive displays a single point where the top right of the rectangle would be. Creating this...
5.9K
Classification of Signals
903
In signal processing, signals are classified based on various characteristics: continuous-time versus discrete-time, periodic versus aperiodic, analog versus digital, and causal versus noncausal. Each category highlights distinct properties crucial for understanding and manipulating signals.
A continuous-time signal holds a value at every instant in time, representing information seamlessly. In contrast, a discrete-time signal holds values only at specific moments, often denoted as x(n), where...
A continuous-time signal holds a value at every instant in time, representing information seamlessly. In contrast, a discrete-time signal holds values only at specific moments, often denoted as x(n), where...
903
Labeling Emotion
243
Emotional labeling is a cognitive process that involves identifying and naming one's emotions, such as anger, fear, happiness, or sadness. It allows individuals to recognize and express their internal emotional states, a critical aspect of emotional regulation and communication. Labeling emotions requires more than mere recognition; it also involves drawing upon memory and contextual cues to understand the current situation and apply a corresponding emotional label. For instance, feeling...
243
Bar Graph
19.6K
A bar graph is also called a bar chart and consists of bars that are separated from each other. It either uses horizontal or vertical bars to show comparisons among categories. The bars can be rectangles, or they can be rectangular boxes (used in three-dimensional plots). One axis of the graph represents the specific categories being compared, and the other axis shows a discrete value. In this graph, the length of the bar for each category is proportional to the number or percent of individuals...
19.6K
Social Scripts
9.9K
People tend to know what behavior is expected of them in specific, familiar settings. A script is a person’s knowledge about the sequence of events expected in a specific setting (Schank & Abelson, 1977). Essentially, scripts are a particular kind of schema, one containing default values for the features within an event. In the restaurant example, the script's features include the props (e.g., tables, menu, food, and money), the roles to be played (e.g., customer and waiter),...
9.9K
