3212 - Text Analysis

3212 - Text Analysis

Issued by GAIn® - The Global AI network

This two-day course will teach you to tackle unstructured pools of text and structure these for application in the analysis. Beginning with an introduction, we will follow all the steps to structure unstructured text data using different transformation methods such as DTM and TF-IDF, cleaning tools, and finally analyze the outcomes with basic and advanced analysis techniques. This is a practical hands-on course in which you will apply all theory to real cases performing text analysis.

Skills

Earning Criteria

  • Understand the text analysis landscape – Know the popular applications and typical challenges of text analysis.
  • Structuring unstructured data – Capable of following the required steps to structuring unstructured text data using different transformation methods.
  • Cleaning text data – Able to use different methods for data cleaning and explain when and when not to use these.
  • Basic analysis methods – Using a pragmatic toolbox to perform basic text description, clustering, and visualization.
  • Advanced analysis methods – Using sophisticated AI methods for automatic clustering and scoring of new documents.
  • Exam