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2015 Eighth International Conference on Mobile Computing and Ubiquitous Networking (ICMU) (2015)
Hakodate, Japan
Jan. 20, 2015 to Jan. 22, 2015
ISBN: 978-4-9076-2612-9
pp: 7-12
Wataru Yamada , NTT Docomo, Inc., Yokosuka, Kanagawa, Japan
Daisuke Torii , NTT Docomo, Inc., Yokosuka, Kanagawa, Japan
Haruka Kikuchi , NTT Docomo, Inc., Yokosuka, Kanagawa, Japan
Hiroshi Inamura , NTT Docomo, Inc., Yokosuka, Kanagawa, Japan
Keiichi Ochiai , NTT Docomo, Inc., Yokosuka, Kanagawa, Japan
Ken Ohta , NTT Docomo, Inc., Yokosuka, Kanagawa, Japan
ABSTRACT
This paper describes a method to extract local event information from the micro-blog service Twitter. Twitter holds innumerable user-posted short messages called tweets that cover various topics including local events. Our proposal is composed of three steps: 1) extract tweets related to local events from local tweets by the Support Vector Machine (SVM) approach, 2) identify and extract the venues, names and times of local events mentioned in the tweets by applying Conditional Random Fields (CRF), 3) use the venues and similarity of names to aggregate duplicate local event information. We implement the proposed method and confirm that it extracts local event information with higher precision than the conventional methods.
INDEX TERMS
Data mining, Support vector machines, Feature extraction, Training data, Twitter, Hidden Markov models, Aggregates
CITATION

W. Yamada, D. Torii, H. Kikuchi, H. Inamura, K. Ochiai and K. Ohta, "Extracting local event information from micro-blogs for trip planning," 2015 Eighth International Conference on Mobile Computing and Ubiquitous Networking (ICMU), Hakodate, Japan, 2015, pp. 7-12.
doi:10.1109/ICMU.2015.7061020
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