Courses

DSC 258R: Natural-Language Processing

Course Information

Course Type
Elective
Course Description

(Prereq. DSC 255R)

Introduction to classical methods to mine and analyze real-world text data, including tokenization, stemming and lemmatization, bag-of-words classification, word embedding, language models, sentiment analysis, part-of-speech tagging, named entity recognition, sequence-to-sequence models, and possible biases and societal implications in these models.