Knowledge Enabled Approach to Predict the Location of Twitter Users

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Knowledge Enabled Approach to Predict the Location of Twitter Users

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Wright State University

CORE Scholar Kno.e.sis Publications

The Ohio Center of Excellence in KnowledgeEnabled Computing (Kno.e.sis)

2015

Knowledge Enabled Approach to Predict the Location of Twitter Users Revathy Krishnamurthy Wright State University - Main Campus, [email protected]

Pavan Kapanipathi Wright State University - Main Campus

Amit P. Sheth Wright State University - Main Campus, [email protected]

Krishnaprasad Thirunarayan Wright State University - Main Campus, [email protected]

Follow this and additional works at: http://corescholar.libraries.wright.edu/knoesis Part of the Bioinformatics Commons, Communication Technology and New Media Commons, Databases and Information Systems Commons, OS and Networks Commons, and the Science and Technology Studies Commons Repository Citation Krishnamurthy, R., Kapanipathi, P., Sheth, A. P., & Thirunarayan, K. (2015). Knowledge Enabled Approach to Predict the Location of Twitter Users. Lecture Notes in Computer Science, 9088, 187-201. http://corescholar.libraries.wright.edu/knoesis/1067

This Conference Proceeding is brought to you for free and open access by the The Ohio Center of Excellence in Knowledge-Enabled Computing (Kno.e.sis) at CORE Scholar. It has been accepted for inclusion in Kno.e.sis Publications by an authorized administrator of CORE Scholar. For more information, please contact [email protected].