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About LightSIDE

LightSIDE is a free and open-source software package developed at Carnegie Mellon University. This program is designed as a tool for non-experts to quickly utilize text mining technology for a variety of purposes, including essay assessment. LightSIDE incorporates numerous options for extending its data representation, machine learning, or visualization capabilities through plugins.

This project builds on the previous success of the TagHelper software and has been used for conversation analysis, essay assessment, sentiment analysis, and other text mining tasks. We've worked with partners both in industry and academia to break new ground in the field using an intuitive user interface and extensible Java codebase for more advanced users.

About LightSIDE's Development

Funded by: ONR Cognitive and Neural Sciences division
PI: Carolyn Rosé
Students, Staff, and Collaborators Past and Present: Elijah Mayfield, David Adamson, Moonyoung Kang, Sourish Chaudhuri, Yi-Chia Wang, Mahesh Joshi and Eric Rosé
Website: http://www.cs.cmu.edu/~cprose/SIDE.html

Publications

LightSIDE: Open Source Machine Learning for Text

Elijah Mayfield and Carolyn Rosé
To appear in the Handbook of Automated Essay Assessment. Eds. Mark Shermis and Jill Burstein. In press.

An Interactive Tool for Supporting Error Analysis for Text Mining

Elijah Mayfield and Carolyn Rosé
In the Demo Session at the North American Association for Computational Linguistics 2010.

Supporting the Guide on the SIDE

Moonyoung Kang, Sourish Chaudhuri, Rohit Kumar, Yi-Chia Wang, Eric Rose, Yue Cui, and Carolyn Rosé
In Intelligent Tutoring Systems 2008.

SIDE: The Summarization Integrated Development Environment

Moonyoung Kang, Sourish Chaudhuri, Mahesh Joshi, and Carolyn Rosé
In the Demo Session at the Association for Computational Linguistics 2008.