UROP Project Listing System
Project Title:
Visual Analysis of Financial News Articles
Supervisor:QU Huamin
Project Description:The amount of information in text format such as emails, news articles, memos, and blogs grows explosively each year. How to handle these tremendous text documents is a major challenge facing big companies like Microsoft and IBM. We have built a 1.5 gigabyte corpus of 333,289 news articles published between 2004 and 2006 related to six major topics: Microsoft, Sony, NYSE, Merk, China, and Verizon. In this project, we will develop novel visual analytical techniques to analyze these financial news articles
Course type:UROP1000 UROP1100 UROP2100  
Applicant's Roles:1. Do a survey on text visualization 2. Pick up a problem and work with the professor for novel solutions 3. Implement a novel algorithm 
Applicant's Learning Objectives:1. Get a taste of research 2. Get familiar with a hot research topic 3. Improve critical and creative thining 4. May contribute to a research paper 
Complexity of the project:Moderate 

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