Manuscript received January 4, 2022; revised March 4, 2022; accepted March 20, 2022.
Abstract—The overarching goal of this study was to assess
the suitability of Voyant Tools to identify the frequency of
content-related and non-content-related query subjects (thread
title) and prioritize them based on their occurrence and
importance in the online discussion forum. The dataset
consisted of 296 query subjects collected from the discussion
forums of practical and theoretical massive open online
courses (MOOCs). The cirrus, correlation, and scatter plot
features of Voyant Tools (a web-based application) were used to
analyze the dataset. The Cirrus feature assisted with word
frequency, and the Correlation feature helped with their
co-occurrence in the online discussion forum. The Scatter plot
feature was the most appropriate tool among the three tools
implemented in the current study for generating the clusters of
content-related and non-content-related query subjects. Overall,
Voyant Tools was an effective resource capable of analyzing
quantitative and qualitative data and providing visual output in
various forms.
Index Terms—Massive open online courses (MOOC)
discussion forum, query analysis, Voyant tools
The authors are with the School of Knowledge Science, Japan Advanced
Institute of Science and Technology, Ishikawa, Japan.
*Correspondence: neha11@jaist.ac.jp (N.)
Cite: Neha* and Eunyoung Kim, "Identifying Content-Related and Non-content-related Queries in Online Discussion Forums Using Voyant Tools," International Journal of Information and Education Technology vol. 13, no. 4, pp. 614-620, 2023.
Copyright © 2023 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).