CS 766 - Information Retrieval and Natural Language Processing

(3.00 cr.)

Blends textual information retrieval with natural language processing to focus on topics data scientists use to collect web data and make use of unstructured text in data models. Examples of topics are basic and advanced techniques for text-based information systems involving indexing and text representation; text classification and Naïve Bayes; web search, crawling and indexing; statistical inference, Markov models; and clustering.

Prerequisite: CS 737 .
Sessions Typically Offered: Varies
Years Typically Offered: Varies