VLDB2024
QuoteInspector: Gaining Insight about Social Media Discussions
Peizhi Wu, Yi Zhang, Wang-Chiew Tan, Zachary G. Ives
摘要
Our greatest source of insight into the real world today is via social media. Here, a major statement or quote by a public figure (world leader, politician, celebrity, scientist) can have wide-ranging impact, igniting extensive discussions and triggering reactions. It would be helpful to have tools for monitoring, querying, and inspecting the "flow" of social discourse. We introduce QuoteInspector, a system uniquely designed for efficient tracking and analysis of social media discussions around quotes. QuoteInspector leverages modern text embeddings and employs a clustering-based methodology for extracting topics from posts; it further integrates various NLP techniques for in-depth cluster analysis. Additionally, the system enhances the user experience by combining keyword- and relationship-based (structured) search for efficient and precise quote retrieval.