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International Conference on Collaboration Technologies

CollabTech 2018: Collaboration Technologies and Social Computing pp 115–128Cite as

Can Social Comments Contribute to Estimate Impression of Music Video Clips?

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Part of the Lecture Notes in Computer Science book series (LNISA,volume 11000)

Abstract

The main objective of this paper is to estimate the impressions of music video clips using social comments to achieve impression-based music video clip searches or recommendation systems. To accomplish the objective, we generated a dataset that consisted of music video clips with evaluation scores on individual media and impression types. We then evaluated the precision with which each media and impression type were estimated by analyzing social comments. We also considered the possibility and limitations of using social comments to estimate impressions of content. As a result, we revealed that it is better to use proper parts-of-speech in social comments depending on each media/impression type.

Keywords

  • Estimating impression
  • Music video clip
  • Social comments

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  • DOI: 10.1007/978-3-319-98743-9_10
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Acknowledgments

This work was supported in part by JST ACCEL Grant Number JPMJAC1602, Japan.

Author information

Authors and Affiliations

  1. Meiji University, 4-21-1 Nakano, Nakano-ku, Tokyo, Japan

    Shunki Tsuchiya, Naoki Ono & Satoshi Nakamura

  2. Kyoto University, Yoshida Hommachi, Sakyo-ku Kyoto-shi, Kyoto, Japan

    Takehiro Yamamoto

Authors
  1. Shunki Tsuchiya
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  2. Naoki Ono
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  3. Satoshi Nakamura
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  4. Takehiro Yamamoto
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Corresponding author

Correspondence to Shunki Tsuchiya .

Editor information

Editors and Affiliations

  1. Department of Informatics, The University of Electro-Communications, Chofu, Tokyo, Japan

    Dr. Hironori Egi

  2. Graduate School of Knowledge Science, Japan Advanced Institute of Science and Technology, Nomi, Ishikawa, Japan

    Takaya Yuizono

  3. University of Chile, Santiago, Chile

    Nelson Baloian

  4. Wakayama University, Wakayama City, Japan

    Takashi Yoshino

  5. Otsuma Women’s University, Tokyo, Japan

    Satoshi Ichimura

  6. Departamento de Informatica, Universidade Nova de Lisboa, Caparica, Portugal

    Prof. Armanda Rodrigues

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Tsuchiya, S., Ono, N., Nakamura, S., Yamamoto, T. (2018). Can Social Comments Contribute to Estimate Impression of Music Video Clips?. In: Egi, H., Yuizono, T., Baloian, N., Yoshino, T., Ichimura, S., Rodrigues, A. (eds) Collaboration Technologies and Social Computing. CollabTech 2018. Lecture Notes in Computer Science(), vol 11000. Springer, Cham. https://doi.org/10.1007/978-3-319-98743-9_10

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  • DOI: https://doi.org/10.1007/978-3-319-98743-9_10

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