Chirag Shah

 

 


 

Chirag Shah is an Associate Professor in both the School of Communication & Information (SC&I) and the Department of Computer Science at Rutgers University. His research interests include information seeking/retrieval in individual, social, and collaborative contexts. Shah received a PhD in information science from the University of North Carolina (UNC) at Chapel Hill. He directs the InfoSeeking Lab (http://infoseeking.org/) at Rutgers where he investigates issues related to information seeking, interactive information retrieval, and social media, supported by grants from National Science Foundation (NSF), Institute of Museum and Library Services (IMLS), Google, and Yahoo!

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Nov 28th 2016

After taking this course, the learner will be able to: Utilize various Application Programming Interface (API) services to collect data from different social media sources such as YouTube, Twitter, and Flickr; Process the collected data - primarily structured - using methods involving correlation, regression, and classification to derive insights about the sources and people who generated that data; Analyze unstructured data - primarily textual comments - for sentiments expressed in them; Use different tools for collecting, analyzing, and exploring social media data for research and development purposes.

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