This course equips students with the expertise to analyse and extract valuable insights from unstructured textual data. Emphasising practical applications, the course explores key text mining techniques such as natural language processing, sentiment analysis, and topic modeling to address real-world business challenges. Through hands-on experience with modern tools and methodologies, students will learn to leverage textual data effectively to support strategic decision-making across diverse business domains.

6 x 2 hour lectures

6 x 1 hour workshops

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1. Project output; Individual; 1700 words; 100%; ILOs 1-4.

This course aims to: 

■ Develop students' ability to analyse unstructured textual data and extract meaningful insights to address contemporary business challenges. It provides a robust understanding of key text mining techniques and their application across a range of business contexts.

■ Build practical skills in applying text analytics tools and to foster critical awareness of the ethical considerations and limitations involved in using text mining to inform business decision-making.

By the end of this course, students will be able to: 

1. Critically evaluate text mining principles and techniques in addressing business challenges.

2. Apply text preprocessing techniques to prepare textual data for analysis.

3. Utilise text mining techniques, such as sentiment analysis and topic modelling, to extract actionable insights.

4. Analyse and visualise textual data to identify patterns, trends, and opportunities for business decision-making.