research-article

QuoteInspector: Gaining Insight about Social Media Discussions

Authors:

Peizhi Wu,

Yi Zhang,

Wang-Chiew Tan,

Zachary G. IvesAuthors Info & Claims

Proceedings of the VLDB Endowment, Volume 17, Issue 12

Pages 4501 - 4504

https://doi.org/10.14778/3685800.3685910

Published: 01 August 2024 Publication History

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Abstract

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.

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