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General Information
    • ISSN: 2382-6185
    • Frequency: Quarterly (2015-2016); semiyearly (Since 2017)
    • DOI: 10.18178/IJKE
    • Editor-in-Chief: Prof. Chen-Huei Chou
    • Executive Editor: Ms. Nina Lee
    • Indexed by: Google Scholar, Crossref, ProQuest
    • E-mail: ijke@ejournal.net
Prof. Chen-Huei Chou
College of Charleston, SC, USA
It is my honor to be the editor-in-chief of IJKE. I will do my best to help develop this journal better.
IJKE 2015 Vol.1(2): 120-124 ISSN: 2382-6185
DOI: 10.7763/IJKE.2015.V1.20

Creating English and Japanese Twitter Corpora for Emotion Analysis

A. Danielewicz-Betz, H. Kaneda, M. Mozgovoy, and M. Purgina
Abstract—This paper describes the principles used to collect open English and Japanese Twitter corpora for emotion analysis. We have created a set of eight emotions, based on Ekman and Plutchik categories, applicable both to the English-speaking and Japanese cultures, ensuring that each tweet in our subset of TREC’2011 collection is coded independently by three individuals. We analyse emotions contained in the resulting corpora and briefly discuss the obtained results. This work will provide valuable insights for researchers interested in emotion analysis of micro-blogosphere and comparative studies of English and Japanese tweets.

Index Terms—Emotion, corpus, microblogs, Twitter.

A. Danielewicz-Betz, H. Kaneda, and M. Mozgovoy are with School of Computer Science and Engineering, the University of Aizu, Japan (e-mail: abetz@u-aizu.ac.jp, mozgovoy@u-aizu.ac.jp, mapurgina@gmail.com).
M. Purgina is with the Department of Computer Systems and Software Engineering, St. Petersburg State Polytechnic University, Russia (e-mail: rainbowdash7777@gmail.com).


Cite: A. Danielewicz-Betz, H. Kaneda, M. Mozgovoy, and M. Purgina, "Creating English and Japanese Twitter Corpora for Emotion Analysis," International Journal of Knowledge Engineering vol. 1, no. 2, pp. 120-124, 2015.

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