Anzeige
Erschienen in:
2012 | OriginalPaper | Buchkapitel
Faceted Browsing over Social Media
verfasst von : Ullas Nambiar, Tanveer Faruquie, Shamanth Kumar, Fred Morstatter, Huan Liu
Erschienen in: Big Data Analytics
Verlag: Springer Berlin Heidelberg
Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.
Wählen Sie Textabschnitte aus um mit Künstlicher Intelligenz passenden Patente zu finden. powered by
Markieren Sie Textabschnitte, um KI-gestützt weitere passende Inhalte zu finden. powered by
The popularity of social media as a medium for sharing information has made extracting information of interest a challenge. In this work we provide a system that can return posts published on social media covering various aspects of a concept being searched. We present a faceted model for navigating social media that provides a consistent, usable and domain-agnostic method for extracting information from social media. We present a set of domain independent facets and empirically prove the feasibility of mapping social media content to the facets we chose. Next, we show how we can map these facets to social media sites, living documents that change periodically to topics that capture the semantics expressed in them. This mapping is used as a graph to compute the various facets of interest to us. We learn a profile of the content creator, enable content to be mapped to semantic concepts for easy navigation and detect similarity among sites to either suggest similar pages or determine pages that express different views.