Natural Language Processing

Catalog description

This course introduces the foundations of Natural Language Processing (NLP), from theoretical fundamentals of language models and grammars to the application of algorithms. The course will draw from the following NLP topics: word and sentence tokenization, spelling correction, question answering, text classification, and sentiment analysis. Programming assignments will utilize unstructured text and freely available corpora, be coded in a modern programming language, such as Python, and will utilize modern NLP toolkits such as NLTK and CoreNLP.