A hierarchical topic analysis tool to facilitate digital humanities research
In: Aslib Journal of Information Management, Jg. 75 (2022), Heft 1, S. 1-19
Online
academicJournal
Zugriff:
Purpose This study aims to develop a hierarchical topic analysis tool (HTAT) based on hierarchical Latent Dirichelet allocation (hLDA) to support digital humanities research that is associated with the need of topic exploration on the Digital Humanities Platform for Mr. Lo Chia-Lun’s Writings (DHP-LCLW). HTAT can assist humanities scholars on distant reading with analysis of hierarchical text topics, through classifying time-stamped texts into multiple historical eras, conducting hierarchical topic modeling (HTM) according to the texts from different eras and presenting through visualization. The comparative network diagram is another function provided to assist humanities scholars in comparing the difference in the topics they wish to explore and to track how the concept of a topic changes over time from a particular perspective. In addition, HTAT can also provide humanities scholars with the feature to view source texts, thus having high potential to be applied in promoting the effectiveness of topic exploration due to simultaneously integrating both the topic exploration functions of distant reading and close reading. Design/methodology/approach This study adopts a counterbalanced experimental design to examine whether there is significant differences in the effectiveness of topic inquiry, the number of relevant topics inquired and the time spent on them when research participants were alternately conducting text exploration using DHP-LCLW with HTAT or DHP-LCLW with Single-layer Topic Analysis Tool (SLTAT). A technology acceptance questionnaire and semi-structured interviews were also conducted to understand the research participants' perception and feelings toward using the two different tools to assist topic inquiry. Findings The experimental results show that DHP-LCLW with HTAT could better assist the research participants, in comparison with DHP-LCLW with SLTAT, to grasp the topic context of the texts from two particular perspectives assigned by this study within a short period. In addition, the results ...
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A hierarchical topic analysis tool to facilitate digital humanities research
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Autor/in / Beteiligte Person: | Chen, Chih-Ming ; Ho, Szu-Yu ; Chang, Chung |
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Zeitschrift: | Aslib Journal of Information Management, Jg. 75 (2022), Heft 1, S. 1-19 |
Veröffentlichung: | Emerald, 2022 |
Medientyp: | academicJournal |
ISSN: | 2050-3806 |
DOI: | 10.1108/ajim-11-2021-0325 |
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