Practical Application of S-APIR Utilizing Textual Data


Research leader:

Kazuhiro Seki (Senior Researcher, APIR/Professor, Konan University)


Research outline:

With the rapid development of information technology in recent years, large-scale data generated by domestic and international economic activities are becoming available in a variety of forms. The use of data containing extremely rich information, such as text data, is thought to be effective in making more precise judgments and forecasts of macroeconomic conditions. In view of this, this project aims to develop an index using text data, which can be instrumental in discerning economic trends.