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Course Unit Title | Course Unit Code | Type of Course Unit | Level of Course Unit | Year of Study | Semester | ECTS Credits |
---|---|---|---|---|---|---|
Text Mining | BLM609 | Elective | Doctorate degree | 1 | Fall | 8 |
Prof. Dr. Sevinç İLHAN OMURCA
Associate Prof. Dr. Hakan GÜNDÜZ
1) Apply data mining techniques
2) Evaluate the text mining principles
3) Carry out text preprocessing
4) Use vektor space model
5) Apply Latent Semantic Analysis
Program Competencies | |||||||||||||
1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | ||
Learning Outcomes | |||||||||||||
1 | Low | High | High | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | |
2 | Low | Middle | Middle | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | |
3 | Low | Middle | Middle | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | |
4 | High | High | High | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | |
5 | High | High | High | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation |
Face to Face
None
Not Required
Datamining Text mining Text preprocessing
1) Lecture
2) Lecture
3) Lecture
4) Question-Answer
5) Discussion
6) Discussion
7) Self Study
8) Self Study
9) Self Study
10) Project Based Learning
11) Project Based Learning
Contribution of Project to Course Grade |
70% |
---|---|
Contribution of Final Examination to Course Grade |
30% |
Total |
100% |
Turkish
Not Required