DSBA 6188: Text Mining and Information Retrieval
University of North Carolina, Charlotte
Introduces the general computational techniques for analyzing large amounts of text data, as well as basic techniques for information retrieval.� By introducing text mining (TM) and information retrieval (IR) in a unified framework, this course emphasizes the importance of integration of IR and TM needed to build the two major types of text information systems, i.e., search engines (such as Google, MS Bing, etc.) and text analytics systems, for text information access and text analysis.
Average GPA: 3.72
Grade distribution records: 73 students across 4 terms.
Grade distribution
| Grade | Students | Percent |
|---|---|---|
| A | 52 | 71.2% |
| B | 13 | 17.8% |
| C | 3 | 4.1% |
| W | 5 | 6.8% |
Based on 73 student grade records across 4 terms and 4 professors.
Instructors
- Ryan Wesslen 22 students, Average GPA 3.71
- Xi Niu 22 students, Average GPA 3.32
- Depeng Xu 18 students, Average GPA 4.00
- Zhijun Tang 11 students, Average GPA 4.00