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社交媒体网络安全的文本分析:AMiCA项目

Text Analysis for Social Media Cybersecurity: the AMiCA Project
课程网址: https://videolectures.net/videos/clarinplusworkshop2017_lefever_s...  
主讲教师: Els Lefever
开课单位: 信息不详。欢迎您在右侧留言补充。
开课时间: 2017-06-06
课程语种: 英语
中文简介:
AMiCA项目的文本分析部分([url]ttp://www.amicaproject.be)是安特卫普大学和根特大学的合作项目,开发了方法和软件来帮助版主检测他们社交网络中不受欢迎或危险情况的发生。更具体地说,该项目开发了用于检测网络欺凌、自杀公告和性侵犯行为的原型系统。在这次演讲中,我将重点介绍用于社交媒体文本规范化、分析用户和检测危险内容的文本分析方法。我将描述这三个应用程序的体系结构和结果。
课程简介: The text analysis part of the AMiCA project a cooperation between the University of Antwerp and the University of Ghent, developed methods and software to help moderators detect occurrences of unwanted or dangerous situations in their social networks. More specifically, the project developed prototype systems for the detection of cyberbullying, suicide announcements, and sexually transgressive behavior. In this talk I will focus on the text analysis methods that were used for normalization of social media text, for profiling users, and for detecting dangerous content. I will describe the architectures and results of the three resulting applications.
关 键 词: 文本分析; 社交媒体; 文本分析方法
课程来源: videolectures
数据采集: 2025-03-25:yuhongrui
最后编审: 2025-03-25:yuhongrui
阅读次数: 4