Ghostly geography and Chinas most haunted places, part 2
Explore the concept of digital text analysis and examine with Python what place names are associated with haunted places in Chinese popular literature? Can the analysis be visualized on a digital map (GIS) and disseminated using ArcGIS online?
Older and modern movies, TV series and novels from China are full of ghosts. For long periods, the Chinese Communist Party has sought to combat most forms of religiosity — religion was, according to Karl Marx, "opium for the people". Can we learn more about the existence of ghosts in modern Chinese popular culture — and in historical memory — by drawing geographical maps of their doings and barn?
The purpose is to sow seeds of curiosity in students from Asian Studies around trends and technologies in digital humanities and its application in the analysis of Chinese popular literature.
The target group is students from Asian Studies
The participants can get:
- A nice informal academic learning experience
- A knowledge of genre features of Chinese Literature
- A knowledge of and understanding of pipelines in digital text analysis:
- Word frequency, n-grams, correlation, and named-entity recognition
Time and place
The workshop will run over two days:
18 November from 1 pm. - 4 pm.
25 November from 1 pm. - 4 pm.
Python, Jupyter Notebook, and ArcGIS Online. The software is installed on six computers in the Datalab at KUB South Campus. Participants can share these computers, but I would also be so fine if participants would bring their own computer. Just be aware that Anaconda have to be installed prior to the workshops. Download Anaconda from this page: https://www.anaconda.com/products/individual
Bo Ærenlund Sørensen, postdoc at UCHP with knowledge of digital text analysis, Chinese culture, literature, and politics https://tors.ku.dk/ansatte/?pure=da/persons/247968
Lars Kjær, information specialist at CUL with knowledge of digital text analysis and experience with teaching digital humanities to the target group https://kub.kb.dk/prf.php?account_id=65132
Participants must prepare for:
that there are two workshops and that the instructors expect them to participate in both workshops
that the workshops are voluntary and that no ECTS points is earned
Please contact the instructors if you want to participate.
Related LibGuide: KUB Datalab by Halle Rashdan
- 13:00 - 16:00
- Time Zone:
- Central European Time (change)
- KUB Datalab - Sdr Campus
- KUB Søndre Campus, Karen Blixens Plads 7, 2300 Kbh. S