Indian Journal of Science and Technology
Year: 2016, Volume: 9, Issue: 35, Pages: 1-5
Hyo-Jung Oh1 , Yong Kim2 and Bo-Hyun Yun3*
1Graduate School of Archives and Records Management, Institute of Culture Convergence Archiving, Chonbuk National University, Korea; [email protected]
2 Department of Library and Information Science, Institute of Culture Convergence Archiving, Chonbuk National University, Korea; [email protected]
3 Department of Computer Education, Mokwon University, Daejeon, Korea; [email protected]
*Author for correspondence
Department of Computer Education
Objectives: With the rise of locative media fostered by the growing ubiquity of mobile devises, many researches to detect users’ preferred location information have been actively studied. Methods/Statistical Analysis: This paper proposes a method for hot place detection based on social media contents. Especially, we focus on POIs (Point-Of-Interests) disambiguation using linguistic clues based on social media content analysis. We try to combine implicit clues using linguistic analysis and geometric metadata which are embedded in tweet mentions. This feature can help to overcome the limitation of using explicit information only. Findings: By experiment results based on real tweet data, we show the effects and usage of our proposed method. Improvements/Applications: The POI method can also be enhanced by considering other efficiency metrics.
Keywords: Linguistic Clues, Location Disambiguation, POI, Social Media
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