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アイテム
Evaluating Aspect Category Sentiment Analysis Using Foreign Skiers' Review Dataset
https://ipsj.ixsq.nii.ac.jp/records/230131
https://ipsj.ixsq.nii.ac.jp/records/230131b2c12708-65a1-4737-8e19-1bf9b16e3622
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Copyright (c) 2023 by the Information Processing Society of Japan
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Item type | National Convention(1) | |||||||||
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公開日 | 2023-02-16 | |||||||||
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タイトル | Evaluating Aspect Category Sentiment Analysis Using Foreign Skiers' Review Dataset | |||||||||
言語 | ||||||||||
言語 | eng | |||||||||
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主題Scheme | Other | |||||||||
主題 | 人工知能と認知科学 | |||||||||
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資源タイプ識別子 | http://purl.org/coar/resource_type/c_5794 | |||||||||
資源タイプ | conference paper | |||||||||
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筑波大 | ||||||||||
著者名 |
儀, 忠躍
× 儀, 忠躍
× 関, 洋平
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論文抄録 | ||||||||||
内容記述タイプ | Other | |||||||||
内容記述 | Measuring satisfaction at Japanese ski resorts of foreign skiers using questionnaires is very time-consuming. We attempted to measure foreign skiers’ satisfaction by using Aspect Category Sentiment Analysis (ACSA) to detect sentiment polarity in entities such as slopes, lifts, restaurants, and so on. We collected over two thousand English skiers’ reviews from Tripadvisor and manually annotated them according to their sentiment polarities towards 26 pre-defined aspect categories. Moreover, we evaluated our approach using our dataset and SemEval-2016 Task 5 dataset. The results in this study illustrated that ACSA is a promising approach to measure foreign skiers’ satisfaction. | |||||||||
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収録物識別子タイプ | NCID | |||||||||
収録物識別子 | AN00349328 | |||||||||
書誌情報 |
第85回全国大会講演論文集 巻 2023, 号 1, p. 683-684, 発行日 2023-02-16 |
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言語 | ja | |||||||||
出版者 | 情報処理学会 |