Carnegie Mellon University
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Text Miner
Head: Katia Sycara
Contact: Lori R. Price
Mailing address:
Carnegie Mellon University
Robotics Institute
5000 Forbes Avenue
Pittsburgh, PA 15213
Project Homepage
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.