Causal network construction using large-scale news text

Abstract

Investors refer to a variety of information when making investment decisions: The amount ofavailable information is increasing day by day due to the spread of the Internet, and it is difficult to graspall information such as causality. In this study, we attempt to construct an understanding support model thatcan visualize news through Attention-Based Bi-LSTM model using Reuters News as an analysis target.