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Discovering users' topics of interest on twitter: a first look

10 years 10 months ago
Discovering users' topics of interest on twitter: a first look
Twitter, a micro-blogging service, provides users with a framework for writing brief, often-noisy postings about their lives. These posts are called "Tweets." In this paper we present early results on discovering Twitter users' topics of interest by examining the entities they mention in their Tweets. Our approach leverages a knowledge base to disambiguate and categorize the entities in the Tweets. We then develop a "topic profile," which characterizes users' topics of interest, by discerning which categories appear frequently and cover the entities. We demonstrate that even in this early work we are able to successfully discover the main topics of interest for the users in our study. Categories and Subject Descriptors H.3.3 [Information Storage and Retrieval]: Information Search and Retrieval--clustering; I.2.7 [Artificial Intelligence]: Natural Language Processing--text analysis General Terms Algorithms, Experimentation
Matthew Michelson, Sofus A. Macskassy
Added 10 Feb 2011
Updated 10 Feb 2011
Type Journal
Year 2010
Where AND
Authors Matthew Michelson, Sofus A. Macskassy
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