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Can I read A Hierarchical Topic Analysis Tool to Facilitate Digital Humanities Research on EtoBox?
A Hierarchical Topic Analysis Tool to Facilitate Digital Humanities Research by Chih-Ming Chen; Szu-Yu Ho; Chung Chang is a Social Sciences article available to read on EtoBox.
What is A Hierarchical Topic Analysis Tool to Facilitate Digital Humanities Research about?
## 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 counter
Who reads A Hierarchical Topic Analysis Tool to Facilitate Digital Humanities Research?
It is typically read by researchers, students, and practitioners in Social Sciences.
- Author
- Chih-Ming Chen; Szu-Yu Ho; Chung Chang
- Publisher
- Emerald
- Published
- 2022
- Language
- EN
- Field
- Social Sciences