Automatic Generation of Regional Business Sentiment Indexes Using Contact Histories

Abstract

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.