2024
DOI: 10.1609/icwsm.v18i1.31391
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Theme-Driven Keyphrase Extraction to Analyze Social Media Discourse

William Romano,
Omar Sharif,
Madhusudan Basak
et al.

Abstract: Social media platforms are vital resources for sharing self-reported health experiences, offering rich data on various health topics. Despite advancements in Natural Language Processing (NLP) enabling large-scale social media data analysis, a gap remains in applying keyphrase extraction to health-related content. Keyphrase extraction is used to identify salient concepts in social media discourse without being constrained by predefined entity classes. This paper introduces a theme-driven keyphrase extraction fr… Show more

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