QAC 386
Fall 2017 not offered
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| Certificates: Applied Data Science |
| Course Cluster: Data Analysis Minor |
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 to extract information and for classification and prediction. |
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| Credit: 1 |
Gen Ed Area Dept:
SBS QAC |
| Course Format: Laboratory Course | Grading Mode: Graded |
| Level: UGRD |
Prerequisites: QAC211 OR ECON300 OR [GOVT367 or QAC302] |
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Fulfills a Requirement for: (CADS)(DATA-MN)(PSYC) |
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