Estimation of Individual Contribution Ranking by Group Assessment on the Subject of Manzai Performances
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- ASANO Seiya
- Graduate School of Engineering, The Universi
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- SAKATA Ichiro
- Graduate School of Engineering, The Universi
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- OCHI Masanao
- Graduate School of Engineering, The Universi
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- ASATANI Kimitaka
- Graduate School of Engineering, The Universi
Bibliographic Information
- Other Title
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- 漫才公演を題材としたグループ評価による個人貢献度ランキングの推定
Abstract
<p>In recent years, there has been a growing need for individual contribution evaluations. However, there is a problem in that group assessment do not provide information on individual contributions. In this study, we focus on information on Twitter and aim to estimate the contribution of each performer by using the number of likes on the promotional posts of a manzai theater as a feature value. Specifically, we propose a novel method that applies the TrueSkill\texttrademark algorithm. In an experiment to evaluate the accuracy of the proposed method using the number of likes on the promotional posts of a comedy theater, it was shown that the proposed method improves the accuracy when the number of likes by manzai fans is excluded. In addition, it was confirmed that the values calculated by the proposed method correlate with the results of a manzai competition, suggesting that the proposed method is effective.</p>
Journal
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- Proceedings of the Annual Conference of JSAI
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Proceedings of the Annual Conference of JSAI JSAI2022 (0), 4N1GS304-4N1GS304, 2022
The Japanese Society for Artificial Intelligence
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Details 詳細情報について
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- CRID
- 1390292706071234304
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- Text Lang
- ja
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- Data Source
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- JaLC
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- Abstract License Flag
- Disallowed