BUTANE (BU Transcript Analytics & Exploration)
Developed by the Institute for Oral History and Data and Digital Scholarship team at Baylor University, BUTANE is a free data mining and visualization tool that allows users to analyze and explore data gathered from interviewee transcript responses in innovative and revealing ways.
What is BUTANE?
BUTANE offers a user-friendly suite of approaches to examine both existing interview collections as well as an effective way to assess material gathered in ongoing research projects. BUTANE can be used for a single transcript or employed to present broad snapshots of large collections. The tool can produce a quick report or offers more in-depth customization to meet the needs of particular users.
What can BUTANE show me?
Through just a few steps, BUTANE can run transcripts through a series of processes and produce the following in a downloaded report:
- Frequency of shared nouns
- Top five nouns by interviewee
- Chronological references in interviews
- Similarity matrix of interviewee responses
- References to place in interviews
- Positive and negative sentiment in interviews
- Contextual data for important interview keywords
BUTANE Specifications and Documentation
BUTANE is a Python Jupyter Notebook hosted on the Google Colab platform.
Developmental notes: The developmental team for BUTANE includes the following contributors:
- Joshua Been, Assistant Librarian, Director of Data and Digital Scholarship
- Stephen Sloan, Director, Institute for Oral History, Associate Professor, Department of History
- Anupama Kanan, Undergraduate Student, majoring in biology and sociology, minoring in history
- Eric Ames, Assistant Director, Marketing and Communications for ITS and University Libraries
Permissions
Copyright 2022 Baylor University Libraries.
Use: Licensed under an MIT License.
Citation: Joshua Been and Stephen M. Sloan. BUTANE: Baylor University Transcript Analysis and Exploration. V. 2. Baylor University Libraries. Jupyter Notebooks. 2021.