JOUR779P

Seminar in Research Problems; Computational Text Analytics in Python

edu) This course is designed to teach the principles and computational methods of natural language or textual data processing and provide hands-on experience in text analysis using Python. Natural language processing (NLP) is a set of techniques for examining and analyzing text as data. This course investigates the usage of NLP as a set of these techniques, with a particular emphasis on the practical side of NLP-using current NLP methods and libraries in Python in novel and inventive ways. Students will use and expand on existing libraries to solve textual problems, including scikit-learn, pytorch, gensim, spacy, and huggingface.

Sister Courses: JOUR779I, JOUR779K, JOUR779M, JOUR779Q, JOUR779V, JOUR779X, JOUR779Z

Fall 2023

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* "W"s are considered to be 0.0 quality points. "Other" grades are not factored into GPA calculation. Grade data not guaranteed to be correct.