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Text Mining

The Learning objective is to get familiar with development environments utilized for Big Data Analytics.

Students learn the programming language R and how to perform Text Mining using Natural Language Processing. How to prepare text analytics via string manipulation and keyword scanning and how to present findings in form of network diagrams word clouds and term frequencies are covered as well as sentiment scoring, polarity, subjectivity, and emoticon use.

Advanced analytics include hidden structures, document classification, predictive modeling and world mapping of data findings.