DIDA 310 - Text Mining

Credits: 4

This course is an introduction of the methods and theory of quantitative analysis of documents and natural language processing. Students will learn to use modern tools and Python packages to analyze texts as individual words, sentences, and entire documents. Topics include part-of-speech tagging, sentence diagramming, machine translation, regular expressions, and sentiment analysis. Prior programming experience is useful but not expected. NOTE: students that have taken DIDA 210 will not receive credit for taking DIDA 310.