CS 589 Text Mining and Information Retrieval
This course is a graduate-level course on fundamental techniques in information retrieval and text mining. By taking this course, students learn how to crawl, clean, process, mine, and infer knowledge from a massive amount of text data; how to build a search engine from scratch, in-cluding indexing, building retrieval models, and evaluating the performance of a search engine; they will also learn important machine learning and deep learning techniques for text data, in-cluding topic model, LSTM and BERT; finally, they will learn state-of-the-art research topics in text mining and information retrieval, and get research experience in these topics by working on the final project.
Prerequisite
((Grad Student) or (Junior or Senior and
CS 115))
Distribution
Computer Science ProgramOffered
Fall Semester
Spring Semester
Summer Semester