Express Emoticons Choice Method for Smooth Communication of e-Business (original) (raw)

Abstract

For the business communication by email with cellular phones, it has an important weak point. That is to hard to tell to be utterance speed and the pitch of sounds involved in the sentences, because it communicate by letters only. Emoticons are often used to make up for this weak point. This paper describes techniques to predict emotions of sentences in Japanese emails and give an emoticon to end of a sentence automatically. This is achieved by learning information of emotions with emoticons used and analyzing the text of email with cellular phone by collecting and analyzing our corpus of emails. We also examined consistency evaluation with real email sentences input by cellular phones and emoticons automatically generated by this technique. We could get correct answer rate of 87.7%.

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References

  1. Fukui, Y.: Psychology of emotions. Kawashima Publish (1990)
    Google Scholar
  2. Gotoh, M., Kanoh, M., Kato, S., Kunitachi, T., Itoh, H.: Face Generation Using Emotional Regions for Sensibility Robot. Transactions of the Japan Society for Artificial Intelligence 21(1), 55–62 (2006)
    Article Google Scholar
  3. Matsumoto, S., Yamaguchi, T., Komatani, K., Ogata, T., Okuno, H.: Emotion recognition by integration face image information and sound information for using in robots. In: Proceedings of 22th The Robotics Society of Japan Conventions 3D14 (2004)
    Google Scholar
  4. Keila, P.S., Skillicorn, D.B.: Detecting unusual and deceptive communication in email, External technical report, School of Computing, Queen’s University (2005)
    Google Scholar
  5. Nakamura, J., Ikeda, T., Inui, N., Kotani, Y.: Learning Face Mark for Natural Language Dialogue System. Natural Language Processing Study Report of Information Processing Society, 154–124 (2003)
    Google Scholar
  6. Matsumoto, H.: A morpheme analysis system “ChaSen”. Information Processing 41(11) (2000)
    Google Scholar
  7. Kort, B., Reilly, R., Picard, R.: An Affective Model of Interplay Between Emotions and Learning: Reengineering Educational Pedagogy – Building a Learning Companion. In: Proceedings of International Conference on Advanced Learning Technologies (2001)
    Google Scholar

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Authors and Affiliations

  1. Graduate School of Buisiness Sciences, University of Tsukuba, Otsuka 3-29-1, Bunkyo, Tokyo, 112-0012, Japan
    Nobuo Suzuki & Kazuhiko Tsuda

Authors

  1. Nobuo Suzuki
  2. Kazuhiko Tsuda

Editor information

Editors and Affiliations

  1. School of Design, Engineering and Computing, Bournemouth University, UK
    Bogdan Gabrys
  2. Centre for SMART Systems, School of Environment and Technology, University of Brighton, BN2 4GJ, Brighton, UK
    Robert J. Howlett
  3. School of Electrical and Information Engineering, Knowledge Based Intelligent Engineering Systems Centre, University of South Australia, SA, 5095, Mawson Lakes, Australia
    Lakhmi C. Jain

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© 2006 Springer-Verlag Berlin Heidelberg

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Suzuki, N., Tsuda, K. (2006). Express Emoticons Choice Method for Smooth Communication of e-Business. In: Gabrys, B., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2006. Lecture Notes in Computer Science(), vol 4252. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11893004\_38

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