BANA 430. Text Mining and Analytics for Business (3)

Prerequisite: SOM 307 (Business Analytics majors must attain a grade of “C” or higher). BUS 302 and BUS 302L are prerequisites for Business majors. In addition to books and news, the general public creates considerable content on social media platforms and applications as well as other websites expressing product reviews. Advances in text mining and social media analytics now play an important role in today’s business decision making. This course will introduce concepts and methods used in text mining and analytics to drive information from text. Students will learn how to process unstructured data, such as information that is not organized in a uniform format, images, videos, and audio. These types of data are heterogeneous, non-compliant with standard schema and often high-dimensional making pattern discovery challenging. Students will learn how to use natural language processing to transform the unstructured text in documents and databases into normalized, structured data suitable for analysis. Students will learn through a combination of lectures and hands-on examples using R and Python.