Profile: Chirag
Shah
University of North Carolina
Chirag Shah is a doctoral student at School of Information & Library Science (SILS) at University of North Carolina (UNC) at Chapel Hill. He received his MS in Computer Science from UMass Amherst, where he worked with Bruce Croft and James Allan on high accuracy retrieval, and topic detection and tracking. At UNC, he has been working with Gary Marchionini and Diane Kelly on various issues concerning exploratory information seeking and interactive information retrieval. He has also worked at many world-renowned research laboratories, such as FXPAL in California and National Institute of Informatics in Tokyo, Japan. His dissertation is focused on collaborative information seeking. He is also interested in social search and question- answering, digital preservation, and contextual information extraction. He has developed several tools for exploratory information seeking and extraction, including "Coagmento" for collaborative information seeking, "TubeKit" for building YouTube crawlers, and "ContextMiner" for capturing contextual information from multiple online sources.
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Presentation Date:
4/16/2009
Presentation Time:
3:00 pm
Paper Title:
Supporting Research Data Collection from YouTube with TubeKit
Abstract:
We present TubeKit, a query-based YouTube crawling toolkit. This software is a collection of
tools that allows one to build one's own crawler that can crawl YouTube based on a set of seed queries and collect up to 17 di erent attributes. TubeKit assists in the phases of this process starting with database creation to nally giving access to the collected data with browsing and searching interfaces. We further demonstrate how we used this toolkit to collect elections related data from YouTube for nearly two years. Some analysis of the collected data relating to the elections is also given.
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