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April 10-11, 2018: Training
April 11-13, 2018: Tutorials & Conference
Beijing, CN

Using AI to analyze the impact of financial news

This will be presented in English.

Zhefu Shi (University of Missouri)
13:1013:50 Thursday, April 12, 2018
模型与方法 (Models and Methods), 英文讲话 (Presented in English)
Location: 紫金大厅B(Grand Hall B) Level: Intermediate
Secondary topics:  传媒、广告、娱乐 (Media, Advertising, Entertainment), 自然语言与语音技术(Natural Language and Speech Technologies), 金融服务 (Financial Services)

必要预备知识 (Prerequisite Knowledge)

A basic understanding of machine learning, artificial intelligence, and the finance market

您将学到什么 (What you'll learn)

Understand how to use AI to analyze financial news

描述 (Description)


It is critical to analyze the business impact of worldwide events on the financial market. Financial news covers the finance activities that changes the finance market, from investment banking, fund management, the securities industries, etc. Finance news is used not only in real-time systems, such as high-frequency trading, but also to project pricing trends and calculate market risk. Investment decisions (e.g., portfolio management) depend on the analysis of historical news.

Zhefu Shi explains how to use AI to analyze the impact of financial news using a financial data pipeline. Zhefu outlines how to extract financial entity information and use it to analyze business impact. All of the components use AI to enhance functionality.




Photo of Zhefu Shi

Zhefu Shi

University of Missouri

Zhefu Shi is a researcher at the University of Missouri, where he works on mathematical modeling, artificial intelligence, machine learning, and cloud computing. Zhefu holds a PhD in computer science and a master’s degree in math and statistics.

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