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Catalog Description
Leveraging Text Mining, Natural Language Processing, and Computational Linguistics to address real-world textual data challenges, including document processing, keyword extraction, question answering, translation, summarization, sentiment analysis, search, recommendation, and information extraction. Each week, classes include (a) Theory and Methods for NLP concepts and (b) Lab Tutorials for practical application with Python on multilingual text datasets.
Prerequisites
Upper-division standing; Informatics 310D and Informatics 304 (or one of the following approved substitutions: C S 303E, C S 312, C S 312H, C S 313E).
Restrictions
Generally restricted to undergradute Informatics majors through registration period 1 and extended to Informatics minors in period 2. Outside students – including iSchool graduate students – will only be accepted during period 3.