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Music Video Search System Based on Comment Data and Lyrics

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Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD 2022)

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 153))

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Abstract

Many people currently use video-sharing services such as YouTube. Keyword search is prevalent in these services. It can be hard to find a video that matches the users’ interests using keyword search unless appropriate words are used. In this study, we propose a method for retrieving music videos with similar impressions by analyzing comment data from YouTube viewers and music lyrics. The proposed method converts comments and lyrics into vectors using Word2Vec, and music videos with similar impressions are retrieved using fuzzy c-means clustering. According to the mean reciprocal rank (MRR) scores, it was clear that the output of the music videos had the same impression within the top three songs.

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Notes

  1. 1.

    https://www.nicovideo.jp/.

  2. 2.

    https://developers.google.com/youtube/v3.

  3. 3.

    https://music.oricon.co.jp/php/special/Special.php?pcd=sp147.

  4. 4.

    https://www.uta-net.com/.

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Acknowledgements

This work was supported by the 2022 SCAT Research Grant and JSPS KAKENHI Grant Number JP20K12027, JP21K12141.

Author information

Authors and Affiliations

  1. Tokushima University, 2-1, Minamijosanjima-Cho, Tokushima, 770-8506, Japan

    Daichi Kawahara, Kazuyuki Matsumoto, Minoru Yoshida & Kenji Kita

Authors
  1. Daichi Kawahara
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  2. Kazuyuki Matsumoto
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  3. Minoru Yoshida
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  4. Kenji Kita
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Corresponding author

Correspondence to Daichi Kawahara .

Editor information

Editors and Affiliations

  1. Division of Intelligent Future Technologies, Mälardalen University, Västerås, Västmanlands Län, Sweden

    Ning **ong

  2. Department of Electronic and Computer Engineering, Brunel University London, Uxbridge, Middlesex, UK

    Maozhen Li

  3. School of Information Science and Technology, Hunan University, Changsha, Hunan, China

    Kenli Li

  4. School of Information Science and Technology, Hunan University, Changsha, Hunan, China

    Zheng **ao

  5. College of Computer and Data Science, Fuzhou University, Fuzhou, Fujian, China

    Longlong Liao

  6. School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore, Singapore

    Lipo Wang

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Kawahara, D., Matsumoto, K., Yoshida, M., Kita, K. (2023). Music Video Search System Based on Comment Data and Lyrics. In: **ong, N., Li, M., Li, K., **ao, Z., Liao, L., Wang, L. (eds) Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery. ICNC-FSKD 2022. Lecture Notes on Data Engineering and Communications Technologies, vol 153. Springer, Cham. https://doi.org/10.1007/978-3-031-20738-9_122

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