InfoMagnets: making sense of corpus data

Authors:
Jaime Arguello;Carolyn Rosé
Affiliations:
Carnegie Mellon University, Pittsburgh, PA;Carnegie Mellon University, Pittsburgh, PA
Venue:
NAACL-Demonstrations '06 Proceedings of the 2006 Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology: companion volume: demonstrations
Year:
2006

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Abstract

We introduce a new interactive corpus exploration tool called InfoMagnets. InfoMagnets aims at making exploratory corpus analysis accessible to researchers who are not experts in text mining. As evidence of its usefulness and usability, it has been used successfully in a research context to uncover relationships between language and behavioral patterns in two distinct domains: tutorial dialogue (Kumar et al., submitted) and on-line communities (Arguello et al., 2006). As an educational tool, it has been used as part of a unit on protocol analysis in an Educational Research Methods course.