Text Data Mining

Description

Text data mining concerns the application of data mining (knowledge discovery in databases, KDD) to unstructured textual data. Our work focuses on using information extraction to first extract a structured database from a corpus of natural language texts and then discovering patterns in the resulting database using traditional KDD tools. It is a part of our research on natural language learning.

Researchers

Un Yong Nahm

Publications

For a list of publications related to Text Data Mining, please visit the following site: cs.utexas.edu/users/ml/text-mining.html