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ANLY610 - Text Mining

Course Details

Course Code: ANLY610 Course ID: 4876 Credit Hours: 3 Level: Graduate

This course covers the elements of text mining techniques used to complement data mining methods but for unstructured text. The essential transformation techniques where text is prepared and handled to a form in which it can be mined is discussed and explained. Additionally, some standard techniques and excel functions will be also covered. (Prerequisite: BUSN662)





Prerequisites

Course Schedule

Registration Dates Course Dates Session Weeks
12/31/18 - 05/31/19 06/03/19 - 07/28/19 Spring 2019 Session D 8 Week session
03/25/19 - 08/30/19 09/02/19 - 10/27/19 Summer 2019 Session D 8 Week session

Current Syllabi

After successfully completing this course, you will be able to

  • LO 1: Describe basic concepts and methods in text mining, for example document representation, information extraction, text classification and clustering, and topic modeling.
  • LO 2: Use benchmark corpora, commercial and open-source text analysis and visualization tools to explore interesting patterns.
  • LO 3: Understand conceptually the mechanism of advanced text mining algorithms for information extraction, text classification and clustering, opinion mining, and their applications in real-world problems.
  • LO 4: Choose appropriate technologies for specific text analysis tasks, and evaluate the benefit and challenges of the chosen technical solution.
NameGrade %
Discussions 25.00 %
Week 1 Discussions 3.13 %
Week 2 Discussions 3.13 %
Week 3 Discussions 3.13 %
Week 4 Discussions 3.13 %
Week 5 Discussions 3.13 %
Week 6 Discussions 3.13 %
Week 7 Discussions 3.13 %
Week 8 Discussions 3.13 %
Assignments 75.00 %
Week 1 Assignment 12.50 %
Week 2 Assignment 12.50 %
Week 3 Assignment 12.50 %
Week 5 Assignment 12.50 %
Week 6 Assignment 12.50 %
Week 7 Assignment 12.50 %

Text Mining and Visualization

Markus Hofmann and Andrew Chisholm

URL: https://www.vitalsource.com/referral?term=9781482237580

Additional Resources

Additional resources will be provided in the class.

Web Sites

In addition to the required course texts, the following public domain web sites are useful. Please abide by the university’s academic honesty policy when using Internet sources as well. Note web site addresses are subject to change.

Site Name

Web Site URL/Address

OnePageR

http://togaware.com/onepager/

TextMining Textbook

http://documents.software.dell.com/statistics/textbook/text- mining

Data Mining Resources

http://www.ngdata.com/data-mining-resources/

Top Free Data Mining Software

http://www.predictiveanalyticstoday.com/top-free-data- mining-software/

Book Title:Text Mining and Visualization: Case Studies Using Open-Source Tools
ISBN:9781482237573
Publication Info:CRC Press
Author:Hofmann and Chisholm
Unit Cost:$101.35

Previous Syllabi

Not current for future courses.