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Automatic Generation of Sentences Expressing Stock Price Trends Using Stock Prices and Earnings Reports
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- NEGISHI Ryu
- Seikei University
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- SAKAI Hiroyuki
- Seikei University
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- ENAMI Kengo
- Seikei University
Bibliographic Information
- Other Title
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- 株価と決算短信を用いた株式動向を表現する文の自動生成
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Description
<p>In this research, we propose a method to automatically generate sentences expressing stock price trends using stock prices and earnings reports as part of the automatic generation of Nikkei 225 market summary articles. The sentences expressing stock price trends generated by our method are as follows: “Retail, wholesale, and construction-related industries are rising. Machinery, steel, and electrical equipment-related sectors fall.” Our method estimates investment themes, such as stock market trends, businesses, products, and social backgrounds, using stock prices and earnings reports. Specifically, our method extracts groups of companies that have experienced large fluctuations in stock prices, and then refines the groups of companies by clustering based on keywords extracted from earnings reports of each company. Next, our method estimates investment themes from the keywords in the narrowed-down group of companies, and generates sentences expressing stock price trends based on the investment themes.</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 35 (3), 693-699, 2023-08-15
Japan Society for Fuzzy Theory and Intelligent Informatics
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Keywords
Details 詳細情報について
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- CRID
- 1390860078757748224
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- ISSN
- 18817203
- 13477986
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- Text Lang
- en
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- Data Source
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- JaLC
- Crossref
- OpenAIRE
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- Abstract License Flag
- Disallowed