From Alexandra Blank
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After successful completion of this course, students have an understanding, both at the conceptual and the technical level, of natural language processing (NLP) methods for the purpose of text mining. Students can build models for a text mining task using machine learning algorithms and text data, and they can evaluate and report on the data, the developed models and modules. Also, students understand, from a theoretical perspective, which models are applicable in which situations, and which real-world challenges prevent the application of certain techniques, such as domain specificity, language variation, noise in the data, and trustworthiness of models.Contact
Lecturer: Dr. S. Verberne