多模式社交媒体挖掘

Y. Kompatsiaris
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引用次数: 0

摘要

社交媒体将网络变成了一个互动的分享平台,用户可以在自己的社交圈内上传数据和媒体,评论并分享这些内容。社交媒体平台上用户生成内容的大规模可用性为研究和理解现实世界的现象、趋势和事件开辟了新的可能性。本次演讲的目的是概述社交媒体挖掘,它提供了一个独特的机会来发现,收集和提取相关信息,以提供有用的见解。它将包括关键的挑战和问题,如打击错误信息、数据收集、分析和可视化组件、应用程序、结果和演示,从新闻到环境和安全等多个领域。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Multimodal Social Media Mining
Social media have transformed the Web into an interactive sharing platform where users upload data and media, comment on, and share this content within their social circles. The large-scale availability of user-generated content in social media platforms has opened up new possibilities for studying and understanding real-world phenomena, trends and events. The objective of this talk is to provide an overview of social media mining, which offers a unique opportunity to discover, collect, and extract relevant information in order to provide useful insights. It will include key challenges and issues, such as fighting misinformation, data collection, analysis and visualization components, applications, results and demonstrations from multiple areas ranging from news to environmental and security ones.
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