College of Social Sciences and International Studies
Text as Data
Module POLM172 for 2021/2
Module POLM172 for 2021/2
- Overview
- Aims and Learning Outcomes
- Module Content
- Indicative Reading List
- Assessment
Postgraduate Module Descriptor
POLM172: Text as Data
This module descriptor refers to the 2021/2 academic year.
Indicative Reading List
This reading list is indicative - i.e. it provides an idea of texts that may be useful to you on this module, but it is not considered to be a confirmed or compulsory reading list for this module.
Basic reading:
- Swaroop C H, A Byte of Python . https://python.swaroopch.com .
- Diipanjan Sarkar, Text Analytics with Python: A Practical Real-World Approach (New York, NY: Springer).
- Justin Grimmer and Brandon M. Stewart (2013) “Text as Data: The Promise and Pitfalls of Automatic Content Methods for Political Texts,” Political Analysis 21 (3): 267-297.
- Michael Alvarez (eds), Computational Social Science (Cambridge, UK: Cambridge University Press).
