ANLY 520 - Sentiment Analytics

(3 semester hours)
Prerequisites: ANLY 500
Description: Web technologies based on text and Natural Language Processing (NLP) are becoming the bone structure of the cloud. Phones and handheld computers support predictive text and handwriting recognition; web search engines give access to information locked up in unstructured text; machine translation allows us to retrieve texts written in Chinese and read them in Spanish. By providing more natural human-machine interfaces, and more sophisticated access to stored information, text language processing has come to play a central role in the multi-lingual information society. This course provides a highly accessible introduction to the field of text mining and computational linguistics. The course is intensely practical; it uses R and/or Python programming language together with fully worked examples and graded exercises.