DIDA 310
Text Mining
Binghamton University · UGRD · Fall 2026
1 section
Catalog description
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.
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Availability not recently verifiedClass #binghamton-DIDA310Fall 2026UGRD4 credits
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