Retrieving Information from Digital Texts in East Asian Studies
Bibliographic Data
| ID | 5954554 |
|---|---|
| Authors | Paul Vierthaler (0000-0002-2135-9499, corresponding author) |
| Year | 2025 |
| Volume | 85 |
| Issue | 1 |
| Pages | 145-156 |
| Publication date | 2025-11-03 |
| Open Access | No |
| Type | ARTICLE |
| Venue | The Journal of Asian Studies (JOURNAL) |
| Journal identifiers | ISSN: 0021-9118 • E-ISSN: 1752-0401 |
| Publisher | Duke University Press (PUBLISHER • US) |
| DOI | 10.1215/00219118-12042087 |
| OpenAlex | W4415816964 |
| Language | EN |
| References cited | 4 |
The emergence of large open-access collections of digitized East Asian texts has had a revolutionary effect on how scholars interact with primary sources. Beyond facilitating simple search, these collections also offer exciting new opportunities to ask questions at a previously impossible scale. Yet the field has been relatively slow to adopt computational methodologies, partially due to the technical difficulty in doing so. Fortunately, a variety of new tools that facilitate computational text analysis are coming online, making it simpler than ever to embark on projects that require quantitative analysis. In this article, I discuss three such initiatives that are opening the doors to new avenues of research by putting exciting, and relatively easy to use, tools in the hands of interested scholars
Asian studies · Ask price · Doors · East Asia · Field (mathematics) · Variety (cybernetics) · Computational and Text Analysis Methods · Digital Humanities and Scholarship · Southeast Asian Sociopolitical Studies
| Highly cited | No |
|---|