LLM-Assisted Content Analysis: Using Large Language Models to Support Deductive Coding

no code implementations • 23 Jun 2023 • Robert Chew, John Bollenbacher, Michael Wenger, Jessica Speer, Annice Kim

In this study, we explore the use of LLMs to reduce the time it takes for deductive coding while retaining the flexibility of a traditional content analysis.

SMART: An Open Source Data Labeling Platform for Supervised Learning

no code implementations • 11 Dec 2018 • Rob Chew, Michael Wenger, Caroline Kery, Jason Nance, Keith Richards, Emily Hadley, Peter Baumgartner

SMART is an open source web application designed to help data scientists and research teams efficiently build labeled training data sets for supervised machine learning tasks.

Active Learning BIG-bench Machine Learning