コサイン類似度を用いた CEO メッセージの時系列分析-大手不動産デベロッパーを対象として-

抄録

In recent years, information issued by companies has become more diversified, increasing corporate transparency to stakeholders. Especially, in CEO messages, which are a source of information indicating a company's future vision, changes over time are likely to emerge. Therefore, we collect CEO messages for each year as text data, vectorize them using natural language processing techniques, and then calculate the cosine similarity between messages for each year. Cosine similarity is a quantitative measure of similarity between documents by calculating the cosine of the angle between two vectors. Using this method, we quantitatively evaluate the similarities and differences between the CEO messages of each company for each year to identify trends in the real estate industry and the differences and characteristics of each company. As a result, it was observed that when social conditions undergo significant changes, the CEOs work to further promote the traditional businesses held by the companies by adapting the direction of the companies to the social conditions.