Similarity-Based Topic Segmentation for Political Speech Transcripts

• In Event: Text as Data

Brief Overview

This study demonstrates how unsupervised topic segmentation can enhance the preprocessing of long, unstructured political texts for downstream NLP tasks such as topic modeling and transformer-based text classification.

Author

• Pei-Hsun Hsieh, University of Pennsylvania