Creation of Causal Relation Network using Semantic Similarity

抄録

Visualizing chains of Economic events and Financial matters including background eventsfrom text data is useful for investors and manager to understand Economic events and Financial matters properly. However, extracting chains of Economic events and Financial matters manually takes a lot of time. Therefore, we treat chains of Economic events and Financial matters as chains of causal relations (we call them Causal Network) and propose the procedure creating causal network using vectors similarity which represent semantic similarities between expressions of Economic events and Financial matters.