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Course Objectives

  1. To introduce the basic concepts of text mining
  2. Describing real life examples and application areas of text mining
  3. Practical presentation of text mining methods
  4. Ensure that the student completes a real-life project with the term project

Topics

  • Fundamentals of text mining and basic concepts
  • Main techniques of neutral language processing
  • Tools for neutral language processing
  • Document representation – converting unstructured data into structured
  • Text categorization
  • Text clustering
  • Topic modelling
  • Text summarization
  • Sentiment analysis
  • Analysis of real world applications: text categorization and clustering
  • Analysis of real world applications: topic modelling and sentiment analysis