IS20140 Exploring Text with Python

Academic Year 2023/2024

This module aims to equip students with the skill to be able to use Python to explore text collections to uncover new insights. The basics of text analysis are covered. The module is structured in a way that gives students the skills to address topics that interest them. The course will cover how text data is processed, some basic natural language techniques and visualisation techniques. Some topics might include sentiment analysis, classification, finding similarities among texts. There is a strong practical focus in this module.

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Curricular information is subject to change

Learning Outcomes:

This module will give students the skills and knowledge to explore collections of text and uncover new insights. Students will also learn the basics of using Python for text analysis.

Indicative Module Content:

Text Analysis
Digital Humanities
Text Corpora
Python

Student Effort Hours: 
Student Effort Type Hours
Lectures

12
Laboratories

12
Autonomous Student Learning

100
Total

124
Approaches to Teaching and Learning:
This module includes lectures, class activities, debates and project work. 
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: Project proposal Unspecified n/a Graded No

20
Class Test: In-class Python test Unspecified n/a Graded No

20
Assignment: Final text analysis project involving collecting text and analysing it with Python, uncovering new insights. Unspecified n/a Graded No

60

Carry forward of passed components
Yes
 
Resit In Terminal Exam
Spring 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?

Not yet recorded.

Name Role
Marion Bartl Lecturer / Co-Lecturer
Marion Bartl Tutor
Rhys Jacka Tutor
Timetabling information is displayed only for guidance purposes, relates to the current Academic Year only and is subject to change.
 
Autumn
      
Lecture Offering 1 Week(s) - 1, 2, 3, 4, 5, 6, 7, 9, 10, 11, 12 Mon 13:00 - 14:50