Natural Language Processing

3 credits · Graduate

Introduction to algorithmic and analytic methods specific to textual data. Subject areas covered are speech recognition, optical character recognition, text parsing, and document analysis. Analysis tools taught include sentiment analysis/topic models, auto-correct, auto-complete, and translation systems. Applications to brain-computer interface communication systems, intelligent personal assistants, and plagiarism detection systems. Prerequisite: ECE 480 or ECE 580 or ECE 581 or ECE 682D or Mathematics 541 or Mathematics 730 or Mathematics 740.