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.
Module Content
Syllabus Plan
Although the module’s precise content may vary from year to year, it is envisaged that the syllabus will cover the following topics:
- Programming in Python
- Collecting textual information online
- Pre-processing text for analysis and “feature selection”
- Dictionary-based methods for text classification
- Supervised and unsupervised learning for text classification
- Transfer learning and language models
Using text-based measures in regression models
Learning and Teaching
This table provides an overview of how your hours of study for this module are allocated:
Scheduled Learning and Teaching Activities | Guided independent study | Placement / study abroad |
---|---|---|
22 | 278 |
...and this table provides a more detailed breakdown of the hours allocated to various study activities:
Category | Hours of study time | Description |
---|---|---|
Scheduled Learning and Teaching Activity | 22 | 11 x 2-hour lectures |
Guided Independent Study | 108 | Activities to learn the Python programming language and to reinforce the text analysis concepts and methods described in class |
Guided Independent Study | 80 | Reading and preparing for lectures |
Guided Independent Study | 90 | Research and analysis for final essay and presentation |
Online Resources
This module has online resources available via ELE (the Exeter Learning Environment).
Web-based resources:
- Learn Python interactively online using Code School’s free Python course: https://www.codecademy.com/learn/python.