An Interactive Tool for Supporting Error Analysis for Text Mining

Elijah Mayfield, Carolyn Penstein Rosé

Abstract: This demo abstract presents an interactive tool for supporting error analysis for text mining, which is situated within the Summarization Integrated Development Environment (SIDE). This freely downloadable tool was designed based on repeated experience teaching text mining over a number of years, and has been successfully tested in that context as a tool for students to use in conjunction with machine learning projects.