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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.

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Correspondence to Shunki Tsuchiya .

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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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