2023 Volume 35 Issue 3 Pages 693-699
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.
