The course will balance theoretical foundations with practical examples using the Python programming language.
No prior experience with libraries such as NLTK or scikit-learn is required for this course.
This first section provides the basic tools and techniques to get started with Natural Language Processing
This section aims at improving our understanding of a document, or a collection of documents, using techniques that go beyond simple word frequencies.
This section tackles the problem of classifying documents into a set of predefined categories.
The last section offers an outlook on advanced NLP problems, so delegates are equipped with ideas and techniques to tackle more specific applications
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