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An Automatic News Analysis and Opinion Sharing System for Exchange Rate Analysis

机译：汇率分析自动新闻分析与意见共享系统

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In an increasingly competitive global market, exchange rate analysis becomes a key part of financial management for international companies. Although some previous studies have developed various forecasting techniques to predict exchange rate trends based on both numerical data and textual data, a deeper understanding of the underlying economic factors is critical for financial decision making purposes. Driven by the real business requirement, we propose an automatic news analysis and opinion sharing system for exchange rate prediction. The system is comprised of five components, including data collection, event classification, sentiment analysis, prediction, and opinion sharing. Breaking news and other data are gathered from broad web sources in a real time. These news and data are firstly classified into focal event types, an innovative sentiment analysis method is then used to predict their impacts on exchange rate. A built-in mechanism is provided for users to share their opinions. Finally, feedbacks and human judgment from decisions makers are allowed to improve the accuracy. The proposed system has been used in an international logistic company. A real-world case has been used to test and illustrate the effectiveness of the designed system. The paper concludes with a discussion of potential applications.
机译：在竞争日益激烈的全球市场中，汇率分析已成为国际公司财务管理的重要组成部分。尽管以前的一些研究已经开发了各种预测技术，以基于数值数据和文本数据来预测汇率趋势，但是对基本经济因素的更深刻理解对于财务决策至关重要。在实际业务需求的驱动下，我们提出了一种用于汇率预测的自动新闻分析和意见共享系统。该系统由五个组件组成，包括数据收集，事件分类，情感分析，预测和意见共享。突发新闻和其他数据是从广泛的Web实时收集的。这些新闻和数据首先被分类为焦点事件类型，然后使用一种创新的情绪分析方法来预测它们对汇率的影响。提供了一种内置的机制供用户分享他们的意见。最后，允许决策者提供反馈和人工判断，以提高准确性。提议的系统已在一家国际物流公司中使用。实际案例已用于测试和说明设计系统的有效性。本文最后讨论了潜在的应用。

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