Text Miner - Robotics Institute Carnegie Mellon University
Text Miner
Project Head: Katia Sycara

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

current head

past staff

  • Michael Rectenwald

past contact

  • Lori R Price