Digital Scholarship Symposium 2019 – (Re-)Mining Text: From Traditional to Digital (19 March 2019)
Published on 08/08/2022
The Hong Kong Literature Research Centre and CUHK Library is co-organizing the second Digital Scholarship Symposium, titled “(Re-)Mining Text: From Traditional to Digital” on 19 March 2019 (Tuesday). This Symposium aims to explore the techniques and applications of text mining in the new era. Researchers mine text in a microscopic way using traditional research methods. But with techniques developed in digital scholarship, they can re-mine the text from a macroscopic perspective.
The one-day Symposium will have a keynote speech given by Professor J. Stephen Downie, Professor and Associate Dean for Research, School of Information Sciences at University of Illinois at Urbana-Champaign, and the Illinois Co-Director of the HathiTrust Research Center. The three panels in the Symposium on English Text and Social Media, Hong Kong Literature, and Chinese Text will have scholars from the National Taiwan University, Leiden University, CUHK, and universities in Hong Kong to share their research projects on text mining. More details of the Symposium can be found in the DS Symposium webpage.
Date: 19 March 2019 (Tuesday)
Venue: Digital Scholarship Lab, G/F, University Library
Language: English and Chinese
Registration: https://goo.gl/sD5rVM
Programme:
| Time | Programme | Speaker(s) |
|---|---|---|
| 09:00 – 09:15 | Registration | |
| 09:15 – 09:25 | Opening ceremony | |
| 09:25 – 10:15 | Keynote Speech: HathiTrust Research Center: Creating New Opportunities in Support of Scholarly Text Mining |
Prof. Stephen DOWNIE Professor and Associate Dean for Research School of Information Sciences University of Illinois at Urbana-Champaign |
| 10:15 – 10:40 | Coffee Break | |
| Panel 1: English Text and Social Media Moderator: Prof. YE Jia, Michelle |
||
| 10:40 – 11:10 | Automatic Text Classification – Models, Applications, and Recent Trends | Prof. LAM Wai Professor Department of Systems Engineering and Engineering Management The Chinese University of Hong Kong |
| 11:10 – 11:30 | Bilingual Text-mining for Inspiring Personalized Reflection | Prof. KONG Siu Cheung Professor Department of Mathematics and Information Technology The Education University of Hong Kong |
| 11:30 – 11:50 | Text Mining for Communication Measures on Social Media | Prof. LIANG Hai Assistant Professor School of Journalism and Communication The Chinese University of Hong Kong |
| 11:50 – 12:00 | Discussion | |
| 12:00 – 13:30 | Lunch | |
| Panel 2: Hong Kong Literature Moderator: Prof. FAN Sin Piu |
||
| 13:30 – 13:50 | Network Theory, Plot Analysis: A case study of Lu Lun’s “Poverty-Stricken Alley/Dead End” | Prof. WONG Nim Yan Associate Professor Department of Chinese Language and Literature The Chinese University of Hong Kong |
| 13:50 – 14:05 | (Re-)Mining Text: An Experiment on Visualising Author Network in An Annotated Bibliography of the Classical Writings of Hong Kong Poets | Ms. Kitty K.Y. SIU Digital Scholarship Librarian The Chinese University of Hong Kong Library Ms. Daphne T.Y. SO |
| 14:05 – 14:20 | A Pilot Study on Topic Modeling of The Chinese Student Weekly | Dr. Wendy H.Y. WONG CLIR Postdoctoral Fellow The Chinese University of Hong Kong Library |
| 14:20 – 14:40 | Discussion | |
| 14:40 – 15:00 | Coffee Break | |
| Panel 3: Chinese Text Moderator: Dr. Maria L.C. LAU |
||
| 15:00 – 15:20 | Using CORPRO to Revisit the Authorship Controversy of Dream of the Red Chamber | Prof. CHUEH Ho-chia Associate Professor Department of Bio-Industry Communication and Development National Taiwan University |
| 15:20 – 15:40 | Extracting Stylistic and Intertextual Markers from Chinese Text | Prof. Paul VIERTHALER Assistant Professor Centre for Digital Humanities Leiden University |
| 15:40 – 16:00 | Unveiling the Sheng XuanHuai Archive @ CUHK – Experience Sharing on Using Corpus Data for Text Analysis and Beyond | Mr. Jeff LIU Associate Librarian Lingnan University Library Mr. Tony TSANG Mr. SHENG Chang-Hung |
| 16:00 – 16:20 | Discussion | |
| 16:20 – 16:30 | Closing Remarks | |
Enquiries: dslab@lib.cuhk.edu.hk
Join us to explore the recent trends in text mining!
