Automatic Generation of Regional Business Sentiment Indexes Using Contact Histories
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- SAKAJI Hiroki
- School of Engineering, The University of Tokyo
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- IZUMI Kiyoshi
- School of Engineering, The University of Tokyo
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- MATSUSHIMA Hiroyasu
- School of Engineering, The University of Tokyo
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- KAWASE Kazunari
- MITSUI KNOWLEDGE INDUSTRY CO., LTD.
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- HAYASHI Hiroshi
- MITSUI KNOWLEDGE INDUSTRY CO., LTD.
Bibliographic Information
- Other Title
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- 接触履歴を用いた地域景況インデックスの自動生成
- セッショク リレキ オ モチイタ チイキ ケイキョウ インデックス ノ ジドウ セイセイ
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Abstract
<p>In this paper, we propose a method to generate regional business sentiment indexes by using text of regional banks for business use. There are various textual data in the bank. In this study, we focused on contact histories from within those textual data. Contact histories are data recorded when employees communicate something with a customer, and various things are described. By analyzing contact histories, we thought that we can understand business sentiments of the area. Therefore, in this research, we generate regional sentiment business indexes from the contact histories. First, we selected the optimal model for business index creation using economy watchers survey. After that, we created regional sentiment business indexes using the model and compared it with the existing indicators.</p>
Journal
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- Journal of Japan Society for Fuzzy Theory and Intelligent Informatics
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Journal of Japan Society for Fuzzy Theory and Intelligent Informatics 31 (2), 626-635, 2019-04-15
Japan Society for Fuzzy Theory and Intelligent Informatics
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Details 詳細情報について
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- CRID
- 1390282763106689536
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- NII Article ID
- 130007632841
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- NII Book ID
- AA1181479X
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- ISSN
- 18817203
- 13477986
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- NDL BIB ID
- 029742907
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- Text Lang
- ja
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- Data Source
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- JaLC
- NDL
- Crossref
- CiNii Articles
- KAKEN
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- Abstract License Flag
- Disallowed