POL42050 Quantitative Text Analysis

Academic Year 2021/2022

This module introduces students to various approaches of automated text analysis in social science research, emphasizing hands on analysis of real (political) texts. Students will learn about dictionary methods, supervised methods and unsupervised methods to extract quantities of interest from text. The module combines lectures and coding sessions (using the R statistical language) and emphasises practical issues in each step of the research process (ranging from collecting and pre-processing text data to validating and visualizing output of the analysis).

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Curricular information is subject to change

Learning Outcomes:

Students who have finished this module are well-positioned to apply automated text analysis methods in their own work. They will have learned how to extract useful quantities of interest from text using the R statistical language, evaluate the outcomes and write up the results of an analysis that uses automated text analysis. Furthermore, students will be able to critically evaluate (social science) research that uses automated text analysis methods.

Student Effort Hours: 
Student Effort Type Hours
Autonomous Student Learning






Approaches to Teaching and Learning:
active/task-based learning; peer and group work; lectures; lab/studio work; enquiry & problem-based learning; case-based learning; student presentations 
Requirements, Exclusions and Recommendations

Not applicable to this module.

Module Requisites and Incompatibles
Not applicable to this module.
Assessment Strategy  
Description Timing Open Book Exam Component Scale Must Pass Component % of Final Grade
Assignment: Coding assignments Throughout the Trimester n/a Graded No


Continuous Assessment: Research paper Week 12 n/a Graded No


Presentation: Presentation of research paper Unspecified n/a Graded No


Carry forward of passed components
Resit In Terminal Exam
Summer No
Please see Student Jargon Buster for more information about remediation types and timing. 
Feedback Strategy/Strategies

• Feedback individually to students, post-assessment

How will my Feedback be Delivered?

Feedback will be provided to students within 20 working days of the deadline for the assignment in accordance with university policy.

Timetabling information is displayed only for guidance purposes, relates to the current Academic Year only and is subject to change.
Computer Aided Lab Offering 1 Week(s) - 19, 20, 21, 22, 23, 24, 25, 28, 29, 30, 31, 32, 33 Fri 13:00 - 14:50