Institute of Formal and Applied Linguistics
Charles University, Czech Republic
Faculty of Mathematics and Physics
Data Analytics for Students of Social Studies and Humanities
- Time: Tue 10:40-12:10
- Place: on-line on the Zoom platform. The Zoom links are in Calendar below.
- Language: English
- The classes will be recorded. The video files will be available here.
- Links to enroll
- Students who want to get credit should contact Barbora Hladká at hladka@ufal.mff.cuni.cz.
- Students from CUNI who want to attend the workshop should contact Barbora Hladká at hladka@ufal.mff.cuni.cz.
Aim of the course
We encourage students to use data in their projects.
This course is a gentle, programming-free combination of lectures and practical demonstrations of real-life data workflows in various Social Studies and Humanities (SSH) research areas. It aims at motivating the SSH students to improve their digital literacy in more advanced data analytics courses. The curriculum has arisen as a joint effort of Charles University (CU), University of Warsaw (UW), and Sorbonne University (SU).
This course does not require any prior data analysis or computer science experience. All you need to get started is basic computer literacy.
You will learn how to tell data stories and captivate your future audiences with TableauPublic, how to use the systems Transkribus and Pero for the digitization of historical documents, and how to annotate texts in TEITOK. We will acquaint yout with the André Mazon's digitized correspondence archive and with the migrant stories published at i am a migrant.
Calendar
| No. | Date | Topic | Teaching materials |
|---|---|---|---|
| 1. | Feb 15 |
Introduction (CU) -- course organization, motivation, outline -- basic terminology Zoom link: https://cesnet.zoom.us/j/99487056860 |
- npfl134-lec-1.pdf (last update: Feb 14) - Lecture video: TBA |
| 2. | Feb 22 |
André Mazon (SU, CU) -- his correspondence -- getting data: digitization Zoom link: https://cesnet.zoom.us/j/99487056860 |
- npfl134-lec-2.pdf (last update: Feb 24) - lecture video |
| 3. | Mar 1 |
Collection of André Mazon's correspondence I (CU) Zoom link: https://cuni-cz.zoom.us/j/9293605462 |
- npfl134-lec-3: Mindmap of Tableau and the contents of this lecture
Lecture videos: |
| 4. | Mar 8 |
Collection of André Mazon's correspodence II (CU) Zoom link: https://cuni-cz.zoom.us/j/9293605462 |
Lecture videos: |
| 5. | Mar 15 |
Collection of André Mazon's correspondence III (CU) Zoom link: https://cuni-cz.zoom.us/j/9293605462 |
- Teitok login page
- PERO (you may ignore this link) |
| 6. | Mar 22 |
Licensing data (UW) Zoom link: https://cesnet.zoom.us/j/99487056860 |
- npfl134-lec-6.pdf (last update: Mar 25) |
| 7. | Mar 29 |
Sharing data in repositories (CU) Zoom link: https://cesnet.zoom.us/j/99487056860 |
- npfl134-lec-7.pdf (last update: Mar 29) |
| 8. | Apr 5 |
Introduction to Machine Learning (CU) Zoom link: https://cesnet.zoom.us/j/99487056860 |
- npfl134-lec-8.pdf (last update: Apr 5) |
| 9. | Apr 12 |
Quantitative textual analysis in Sociology (CU) -- analysis of social discourses -- media reporting and web presentations HW #6 assignment Zoom link: https://cesnet.zoom.us/j/3135750651 |
- npfl134-lec-9.pdf (last update: Apr 11), on-line |
| 10. | Apr 19 |
Quantitative textual analysis in Sociology (CU) -- word co-occurence analysis of social discourses -- autobiographical narratives Zoom link: https://cesnet.zoom.us/j/3135750651 |
- npfl134-lec-10.pdf (last update: Apr 19), on-line - lecture video |
| 11. | Apr 26 |
Readability of legal texts (UW, CU) Zoom link: https://cesnet.zoom.us/j/99487056860 |
- npfl134-lec-11.pdf (last update: Apr 26) - lecture video |
| 12. | May 3 |
Searching in the Mazon collection with the PML-TQ (CU) Zoom link: https://cesnet.zoom.us/j/99487056860 |
Part A
Part B |
| 13. | May 10 |
Tableau data visualisation, part I (CU) Zoom link: https://cesnet.zoom.us/j/99487056860 |
Shakespeare |
| 14. | May 17 |
Tableau data visualisation, part II (CU) Zoom link: https://cesnet.zoom.us/j/99487056860 |
|
|
June 15-17 in Prague |
Workshop: a follow-up to the course |
Literature
- Brett, M.R. Topic Modeling: A Basic Introduction. The Journal of Digital Humanities 2(1): 12-16. 2012. on-line
- Corrales Compagnucci, Marcelo. Big Data, Databases and "Ownership" Rights in the Cloud. https://doi.org/10.1007/978-981-15-0349-8. 2020.
- Erjavec, T., Ogrodniczuk, M., Osenova, P. et al.The ParlaMint corpora of parliamentary proceedings. Lang Resources & Evaluation (2022). https://doi.org/10.1007/s10579-021-09574-0
- Foster, Ian, Ghani, Rayid, Jarmin, R.S., Kreuter, F. and Lane, J. (ed.). Big Data and Social Science: A Practical Guide to Methods and Tools (Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences). 2017.
- Hladká Barbora, Holub Martin: A Gentle Introduction to Machine Learning for Natural Language Processing: How to start in 16 practical steps.In: Language and Linguistics Compass, vol. 9, No. 2, pp. 55-76, 2015.
- Jurafski, Dan, Martin, James H. Speech and Langugae Processing. 2021. url
- Piotrowski, Michael. Natural Language Processing for Historical Texts. Morgan & Claypool Publishers. 2012. pdf
- Glossary of common terms used in the course: url
Acknowledgement
By courtesy of DataCamp, you will receive a six-month access to their e-learning materials. These will help you master Tableau Public to the level you wish.
The dataset of André Mazon's correspondence is available for the course's activities based on the Partnership Agreement between the Center of Slavic Studies (Sorbonne University) and the Institue of Formal and Apllied Linguistics (Charles University).
This course is funded by the 4EU+ Alliance under grant agreement No 2021_F3_10, visit this site.
