Course Code: ANL312
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Synopsis

Text Mining and Applied Project Formulation (ANL312) covers text mining as well as topics related to formulating the Business Analytics Applied Project (ANL488). The course has two main aims: first, to expose students to the breadth and depth of text mining and its applications; second, to give students the opportunity to build a prototype for the Business Analytics Applied Project. This experience will prepare them for the actual project at the end of the programme. R programming will be used for hands-on applications of the topics covered.
Level: 3
Credit Units: 5
Presentation Pattern: EVERY JULY

Topics

  • Applied Project Research and Report Writing
  • Introduction to Text Mining
  • Text Preprocessing
  • Feature Engineering
  • Document Classification
  • Document Clustering
  • Topic Modelling
  • Sentiment Analysis
  • Text Mining Model Evaluation
  • Cross-industry Standard Process for Text Mining
  • Text Mining and Predictive Modelling
  • Introduction to Large Language Model

Learning Outcome

  • Discuss text mining concepts and the various applications of text mining
  • Evaluate the usefulness of several text specific transformation techniques
  • Explain the process of different text mining techniques
  • Compare the different approaches to text mining
  • Apply different text mining techniques
  • Implement the various approaches to text mining using appropriate text mining software
  • Propose an appropriate research topic for an analytics applied project
  • Construct a prototype as part of an applied project development
  • Draft and submit a report on the prototype of the Applied Project
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