Visual Analysis of Financial News Articles
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

Supervisor
QU Huamin
Quota
4
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