A framework of fundamental news summarization to determine the direction of foreign exchange rate using adaptive indicator scheme

Abstract

Fundamental indicator news have a strong influence on the movement of foreign exchange rates. There were a lot of fundamental indicator news on the internet that rapidly changes, but to read all of it and make conclusion need a lot of time and effort. Therefore a system is needed to summarize the news. In this paper we propose a framework to generate a scheme that summarize factors affecting the fundamental indicator, where these factors may adapt automatically. The approach used in this system based on 3 (three) phases: 1. News Classification. At this stage, classification process is done by looking at the factors that affect each indicator. The process of obtaining these factors is done by using information extraction approach. 2 Generating scheme based on the Influencing factors, where the scheme can adapt automatically to the factors that affect an indicator. Methods in determining the scheme is based on the extraction of information. 3. Fills the scheme. At this stage, the scheme will be filled with appropriate information so that it will produce the summary of news which related to specific indicators.