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Quantitative Textual Analysis: Introduction to Text Mining

QAC 386
Spring 2016
Section: 01  
Certificates: Applied Data Science

We encounter computerized processing of text in almost every field of life. Google tries to infer the meaning of our search queries, online review engines try to extract information about what products are popular with the users, and across different fields scholars analyze text for insights into the processes and phenomena they study. This course will introduce you to the skills necessary to mine text for information and knowledge. You will learn how to use R to retrieve text from a variety of sources, how to use regular expressions to identify which pieces of text are useful to your study, and how to use techniques from data mining to analyze the processed text in order to extract information and for classification and prediction.
Credit: 1 Gen Ed Area Dept: SBS QAC
Course Format: Lecture / DiscussionGrading Mode: Graded
Level: UGRD Prerequisites: QAC211 OR ECON300 OR [GOVT367 or QAC302]
Fulfills a Major Requirement for: (CADS)(DATA-MN)(PSYC)
Past Enrollment Probability: Not Available

Last Updated on JUN-13-2024
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