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Information search and retrieval in microblogs

By Miles Efron

Abstract

Modern information retrieval (IR) has come to terms with numerous new media in efforts to help people find information in increasingly diverse settings. Among these new media are so-called microblogs. A microblog is a stream of text that is written by an author over time. It consists of many very brief updates that are presented to the microblog’s readers in reverse-chronological order. Today the service called Twitter is the most popular microblogging platform. While microblogging is increasingly popular, methods for organizing and providing access to microblog data are still new. This article offers an introduction to the problems that face researchers and developers of IR systems in microblog settings. After an overview of microblogs and the behavior surrounding them, the article describes established problems in microblog retrieval such as entity search, sentiment analysis, and modeling abstractions such as authority and quality. The article also treats user-created metadata that often appear in microblogs. Because the problem of microblog search is so new, the article concludes with a discussion of particularly pressing research issues yet to be studied in the field

Year: 2011
OAI identifier: oai:CiteSeerX.psu:10.1.1.372.1727
Provided by: CiteSeerX
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