Using Textual Mining Techniques to Study the Relationship between the Information Content of British Firms\'\' CSR Reports and Financial Performance

• Main Authors: Jie-Ren Zheng, 鄭傑仁
• Other Authors: 許英麟
• Format: Others
• Language: zh-TW
• Published: 2019
• Online Access: http://ndltd.ncl.edu.tw/cgi-bin/gs32/gsweb.cgi/login?o=dnclcdr&s=id=%22107NCHU5507030%22.&searchmode=basic

碩士 === 國立中興大學 === 應用數學系所 === 107 === In recent years, deep learning has been widely discussed in the field of natural language processing, and has achieved excellent results in different tasks, including machine translation and text mining. Most of the research of CSR report are based on the basic analysis method. Therefore, this study apply the deep learning method to try to get the information content of CSR report, and directly convert the CSR content into a more intuitive sentiment score. Hopefully it can be an important indicator of corporate analysis in addition to financial indicators. In order to understand the influence of sentiment (which is predicted by the deep learning model) on the financial performance of firms, We collect CSR reports from the British firms which are on the London stock exchange as our samples. Using the linear regression model, the result showed that there is a strong positive relationship between the sentiment and the firm’s financial market performance.