Description
The course will introduce the core concepts of Natural Language Processing such as word tokenization, Part of Speech Tagging, Vector Space representations and text related classification tasks using Machine Learning. High practical accessibility of the course is ensured through programming/project activities; in particular, the Python libraries NLTK, Gensim and CAMeL will provide a tight connection between conceptualization and practical applications.