Binghamton University DIDA
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. This course is geared toward students who are interested in using computational techniques to study works of literature, news reports, social media posts, song lyrics, or any other body of texts that might reveal meaningful historical, cultural, social or political patterns.
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