論文 - 関 和広
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個人の発言と思想に基づくコミュニティ内の偉人の理念を考慮した対話生成
末吉 将也, 北畑 哲也, 関 和広, 灘本 明代
第17回データ工学と情報マネジメントに関するフォーラム 2025年3月
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コミュニティ内の偉人の理念を考慮したスピーチ生成
北畑 哲也, 末吉 将也, 関 和広, 灘本 明代
第17回データ工学と情報マネジメントに関するフォーラム 2025年3月
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How to Interpret an Economic Index? Generating Reports with Topic Sentiment Analysis 査読あり
Kazuhiro Seki
Proceedings of the 13th International Conference on Building and Exploring Web Based Environments 9 - 10 2025年3月
担当区分：筆頭著者, 最終著者, 責任著者
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Refining Sentiment Predictions: Obtaining an Unbiased Business Sentiment Index from Japanese Newspapers 査読あり
Kazuhiro Seki
International Journal of Asian Language Processing 33 ( 2 ) 2350015 2023年12月
担当区分：筆頭著者, 最終著者, 責任著者
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Topic-Sentiment Analysis of Central Bank Press Conferences: BOJ Case Study 査読あり
Kazuhiro Seki, Masahiko Shibamoto, and Takashi Kamihigashi
Proceedings of the 5th Financial Narrative Processing Workshop 2861 - 2865 2023年12月
担当区分：筆頭著者, 責任著者
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Turning News Texts into Business Sentiment 査読あり
Kazuhiro Seki
Proceedings of the 44th European Conference on Information Retrieval (ECIR 2022) 311 - 315 2022年4月
担当区分：筆頭著者, 最終著者, 責任著者
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News-based business sentiment and its properties as an economic index 査読あり 国際誌
Kazuhiro Seki, Yusuke Ikuta, Yoichi Matsubayashi
INFORMATION PROCESSING & MANAGEMENT 59 ( 2 ) 2022年3月
担当区分：筆頭著者, 責任著者 出版者・発行元：ELSEVIER SCI LTD
This paper presents an approach to measuring business sentiment based on textual data. Business sentiment has been measured by traditional surveys, which are costly and time-consuming to conduct. To address the issues, we take advantage of daily newspaper articles and adopt a self-attention-based model to define a business sentiment index, named S-APIR, where outlier detection models are investigated to properly handle various genres of news articles. Moreover, we propose a simple approach to temporally analyzing how much any given event contributed to the predicted business sentiment index. To demonstrate the validity of the proposed approach, an extensive analysis is carried out on 12 years' worth of newspaper articles. The analysis shows that the S-APIR index is strongly and positively correlated with established survey-based index (up to correlation coefficient r = 0.937) and that the outlier detection is effective especially for a general newspaper. Also, S-APIR is compared with a variety of economic indices, revealing the properties of S-APIR that it reflects the trend of the macroeconomy as well as the economic outlook and sentiment of economic agents. Moreover, to illustrate how S-APIR could benefit economists and policymakers, several events are analyzed with respect to their impacts on business sentiment over time.
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Cross-lingual text similarity exploiting neural machine translation models 査読あり
Kazuhiro Seki
Journal of Information Science 47 ( 3 ) 404 - 418 2021年6月
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経済ニュースによる景況感指数の足元予測 査読あり
関和広, 生田祐介
情報処理学会論文誌 62 ( 5 ) 1288 - 1297 2021年5月
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S-APIR: News-Based Business Sentiment Index 査読あり
Kazuhiro Seki, Yusuke Ikuta
Proceedings of the 24th European Conference on Advances in Databases and Information Systems 2020年8月
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Effectiveness and Efficiency for Document Clustering in Biomedicine 査読あり 国際共著
Kazuhiro Seki, Michael Ortiz, Javed Mostafa
Proceedings of the 10th International Workshop on Biomedical and Health Informatics 1620 - 1623 2019年11月
共著
担当区分：筆頭著者, 責任著者
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Dynamic Cluster-based Retrieval and Discovery for Biomedical Literature 査読あり 国際共著
Michael Ortiz, Heejun Kim, Mika Wang, Kazuhiro Seki, Javed Mostafa
Proceedings of the 10th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics (ACM BCB) 2019年9月
共著
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Estimating Business Sentiment from News Texts 査読あり
Kazuhiro Seki, Yusuke Ikuta
Proceedings of the 2nd IEEE Artificial Intelligence and Knowledge Engineering 2019年6月
共著
担当区分：筆頭著者, 責任著者
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On Cross-Lingual Text Similarity Using Neural Translation Models 査読あり
Kazuhiro Seki
Journal of Information Processing 27 315 - 321 2019年
単著
担当区分：筆頭著者, 最終著者, 責任著者
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Exploring Neural Translation Models for Cross-Lingual Text Similarity 査読あり
Kazuhiro Seki
Proceedings of the 27th ACM International Conference on Information and Knowledge Management (CIKM) 1591 - 1594 2018年10月
単著
担当区分：筆頭著者, 最終著者, 責任著者
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Construction and Application of Sentiment Lexicons in Finance 招待あり 査読あり
Kazuhiro Seki, Masahiko Shibamoto
International Journal of Multimedia Data Engineering and Management 9 ( 1 ) 22 - 35 2018年1月
共著
担当区分：筆頭著者, 責任著者
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Constructing Financial Sentiment Lexicons by Integrating Textual and Time-Series Data 査読あり
Kazuhiro Seki and Masahiko Shibamoto
Proceedings of the 2017 IEEE International Conference on Information Reuse and Integration 2017年8月
共著
担当区分：筆頭著者
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Financial Sentiment Orientation of Word Combinations 査読あり
Kazuhiro Seki
Proceedings of the 20th International Conference on Knowledge Engineering and Knowledge Management 2016年11月
単著
担当区分：筆頭著者
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Leveraging Temporal Properties of News Events for Stock Market Prediction 査読あり
Akira Yoshihara, Kazuhiro Seki, and Kuniaki Uehara
Artificial Intelligence Research 2016年1月
共著