Beyond tradition: Text mining analysis for large-scale qualitative data

Authors

  • Omar K. Burhan Department of Psychology, Universitas Brawijaya, Malang, Indonesia
https://doi.org/10.24854/jpu1154

Keywords:

Jurnal Psikologi Ulayat, qualitative data, research methodology, text mining

Abstract

Recent advances in digital technology have made it possible to access and analyze large amounts of data, providing scholars in psychology with new ways to gain insights from qualitative sources such as social media, news articles, and interviews. Traditional methods, however, struggle to handle such large data volumes effectively. Text mining offers an efficient solution, using algorithms to find patterns and themes in large text datasets. This article introduces text mining techniques for analyzing large-scale qualitative data, using two issues of Jurnal Psikologi Ulayat (JPU) as a case study. Using techniques such as word frequency analysis, word clouds, bi-grams, and pairwise correlations, five main themes were identified: (1) Indonesian-based psychology, (2) mental health, (3) interpersonal and family relationships, (4) psychometric assessments, and (5) social phenomena related to fandom and pop culture. This study demonstrates the potential of text mining as an efficient approach to uncover patterns and themes in large qualitative datasets.

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References

Silge, J., & Robinson, D. (2017). Text mining with R: A tidy approach. O'Reilly Media. https://www.tidytextmining.com/

Smink W., Sools, A. M., van der Zwaan, J. M., Wiegersma, S., Veldkamp, B. P., & Westerhof, G. J. (2019) Towards text mining therapeutic change: A systematic review of text-based methods for Therapeutic Change Process Research. PLoS ONE, 14(12), e0225703. https://doi.org/10.1371/journal.pone.0225703

Thakur, K., & Kumar, V. (2021). Application of text mining techniques on scholarly research articles: Methods and tools. New Review of Academic Librarianship, 27(3–4), 302–326. https://doi.org/10.1080/13614533.2021.1918190

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Published

2024-11-29

How to Cite

Burhan, O. K. (2024). Beyond tradition: Text mining analysis for large-scale qualitative data. Jurnal Psikologi Ulayat, 11(2), 162–168. https://doi.org/10.24854/jpu1154

Issue

Vol. 11 No. 2 (2024)

Section

Editorial Note

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Copyright (c) 2024 Omar K. Burhan

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  2. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) for the exposure of their work with an acknowledgement of Jurnal Psikologi Ulayat: Indonesian Journal of Indigenous Psychology (JPU) as an outlet of their published work.

 


This work is licensed under a Creative Commons Attribution 4.0 International License.