DSC 258R. Natural Language Processing (4 units)
Link to catalog page: https://catalog.ucsd.edu/courses/DSC.html#dsc258r
Description
Introduction to classical methods that are useful in analyzing and mining 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, and sequence-to-sequence models. Consideration of possible biases, privacy, and societal implications in these models. This is a distance education course. Prerequisites: DSC 255R. Restricted to major codes DS78 and DS79. All other students with graduate standing may be considered as space permits.
Prerequisite courses
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Successor courses
No courses have DSC 258R as a prerequisite.