Economic Trend Prediction by News Analysis Considering Text Polarity

Abstract

In recent years, various researches in the field of economic prediction have been carried out using fundamental analysis and technical analysis with numerical information. Considering news articles containing not only numerical information but also textual information means that we can pay attention to public opinion, and thus we can make more accurate economic trend prediction which are difficult to predict only by numerical information. In this study, we propose a news text analysis for economic trend prediction using polarity dictionaries.