NATURAL LANGUAGE PROCESSING (2 Credits)
Learning Outcomes:
On successful completion of this course, student will be able to: Describe what is Natural Language Processing and its components; Explain fundamental concepts of how to work with Natural Language Processing; Apply Natural Language Processing concepts in certain real-world applications; Construct Natural Language Processing applications.
Topics:
Language and Computation; N-Grams and Part-of-Speech; Corpus; Naive Bayes & Sentiment Classification; Classification & Logistic Regression; Vector Semantics & Embeddings; Progress Project Presentation; Neural Networks & Neural Language Models; Constituency Grammars & Parsing; Dependency Parsing; Semantic Role Labeling; Chatbots; Final Project Presentation.
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