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Geographic Text Analysis

ED110049Specialization Phase3 ECTSEnglishwinter semesterLehrstuhl für Data Science in Earth Observation (Prof. Zhu)
AI-edited module sheet. Based on the TUMonline module description, edited for readability.Original in TUMonline

What it is about

You will learn how large text data collections — for example from social media, news, or government sources — can be used to answer geodetic and geographic questions. In the end you will be able to process, classify and geocode text data on a large scale and apply these results with other geospatial data, in particular remote sensing data, and in practice.

What you will be able to do

  • Recognize geographic information from text data
  • Implement retrieval and storage methods for text data
  • Apply NLP and ML models for automated analysis of large text corpora
  • Assess suitability and limits of text data for geographic questions
  • Evaluate methods and results for real-world applications

What the module consists of

  • VorlesungConveying the basics, methods and application examples
  • ÜbungConcrete examples and practical application of the methods

Teaching method

  • VorlesungIntroduction to concepts and methods
  • ÜbungPractical implementation on examples
  • Präsentation/Handout/ScreencastsSupport for self-study and illustration
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Official page in TUMonline · Details are not binding.