There is a positive correlation between news reports on a company’s financial outlook and the company’s attractiveness as an investment. However, because of the volume of such reports, it is impossible for financial analysts or investors to track and read all of them.
To address this problem, we have developed the Text Miner. Text Miner is a system that automatically classifies news reports that reflect positively or negatively on a company’s financial outlook.
Displaying 3 Publications
2004
Tech. Report, CMU-RI-TR-04-58, Robotics Institute, Carnegie Mellon University, November, 2004
2003
Tech. Report, AFRL-IF-RS-TR-2003-218, Final Technical Report, September, 2003
2002
Tech. Report, CMU-RI-TR-02-14, Robotics Institute, Carnegie Mellon University, May, 2002
current head
current staff
past staff
- Michael Rectenwald
past contact
- Lori R Price