Scholarly Big Data Reveals New Insights in Republican China
HKMU Scholar Explores New Research Frontiers by Adapting Digital Humanities Technology to Study Classical Literature
Tags: Hong Kong Metropolitan University, Hong Kong, Computing Technology, Education & Human Resources
Dr. Gary Tsang at HKMU employs digital humanities, utilizing scholarly big data, to analyze Ci annotations from the Republican China period, transforming classical literature studies. This method allows efficient access to scarce Ci texts, traditionally dispersed across libraries, enhancing the understanding of historical literature and culture. Applications extend to poetry and prose, expanding research possibilities across other genres from the period. The technology enables comparison of multiple annotation editions, revealing evolution in literary thought. This approach supports the preservation and exploration of Chinese cultural heritage.
IP Type or Form Factor: Software & Algorithm; Programme & Content
TRL: 4 - minimum viable product built in lab
Industry or Tech Area: Big Data Analytics & Simulations; Education
