ANLY 540 - Analysis of Human Language

(3 semester hours)
Prerequisites: None
Description: Over 80% of the content held on big data systems is in the form of unstructured data. The vast majority of the unstructured data is human language. Presently, the prevailing techniques employed to analyze this data are at the levels of word and short phrase analysis, such as those found in the Sentiment Analytics course. This course will move beyond these levels and introduce the student to advanced techniques used in computational linguistics and natural language processing.