| アイテムタイプ |
会議発表論文 / Conference Paper(1) |
| 公開日 |
2025-06-04 |
| タイトル |
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タイトル |
Estimation of Happiness Changes through Longitudinal Analysis of Employees' Texts |
| 言語 |
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言語 |
eng |
| 資源タイプ |
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資源タイプ |
conference paper |
| アクセス権 |
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アクセス権 |
open access |
| 著者 |
Hayashi, Junko
Ito, Kazuhiro
Manabe, Masae
Watanabe, Yasushi
Nakayama, Masataka
Uchida, Yukiko
若宮, 翔子
荒牧, 英治
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| 抄録 |
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内容記述タイプ |
Abstract |
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内容記述 |
Measuring happiness as a determinant of well-being is increasingly recognized as crucial. While previous studies have utilized free-text descriptions to estimate happiness on a broad scale, limited research has focused on tracking individual fluctuations in happiness over time owing to the challenges associated with longitudinal data collection. This study addresses this issue by obtaining longitudinal data from two workplaces over two and six months respectively.Subsequently, the data is used to construct a happiness estimation model and assess individual happiness levels.Evaluation of the model performance using correlation coefficients shows variability in the correlation values among individuals.Notably, the model performs satisfactorily in estimating 9 of the 11 users’ happiness scores, with a correlation coefficient of 0.4 or higher. To investigate the factors affecting the model performance, we examine the relationship between the model performance and variables such as sentence length, lexical diversity, and personality traits. Correlations are observed between these features and model performance. |
| 書誌情報 |
en : Proceedings of the 14th Workshop on Computational Approaches to Subjectivity, Sentiment, & Social Media Analysis
p. 294-304,
発行日 2024-08-15
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| 会議情報 |
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会議名 |
14th Workshop on Computational Approaches to Subjectivity, Sentiment & Social Media Analysis |
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開始年 |
2024 |
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開始月 |
08 |
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開始日 |
15 |
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終了年 |
2024 |
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終了月 |
08 |
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終了日 |
15 |
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開催地 |
Bangkok, Thailand |
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開催国 |
THA |
| 出版者 |
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出版者 |
Association for Computational Linguistics |
| 出版者版DOI |
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関連タイプ |
isReplacedBy |
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識別子タイプ |
DOI |
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関連識別子 |
https://doi.org/10.18653/v1/2024.wassa-1.24 |
| 出版者版URI |
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関連タイプ |
isReplacedBy |
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識別子タイプ |
URI |
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関連識別子 |
https://aclanthology.org/2024.wassa-1.24/ |
| 権利 |
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権利情報Resource |
https://creativecommons.org/licenses/by/4.0/ |
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権利情報 |
$00A92024 Association for Computational Linguistics |
| 著者版フラグ |
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出版タイプ |
NA |
| 助成情報 |
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助成機関名 |
Japan Science and Technology Agency(JST) |
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研究課題番号 |
JPMJMI21J2 |
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研究課題名 |
個人の最適化を支える「場の状態」：個と場の共創的Well-Beingへ |
