| Course Unit Title | Course Unit Code | Type of Course Unit | Level of Course Unit | Year of Study | Semester | ECTS Credits |
|---|---|---|---|---|---|---|
| Text Mining | YZM424 | Elective | Bachelor's degree | 4 | Spring | 5 |
Name of Lecturer(s)
Associate Prof. Dr. Mehmet Zeki KONYAR
Learning Outcomes of the Course Unit
1) Understanding the concept of text mining and their close relationship with statistical natural language processing (SNLP).
2) Learns statistical inference models.
3) Learns text preprocessing methods to improve inference models.
4) To learn and apply the basic algorithms used in this field
5) Learns statistical language models
Program Competencies-Learning Outcomes Relation
| Program Competencies | |||||||||||||
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | ||
| Learning Outcomes | |||||||||||||
| 1 | Low | No relation | High | Low | Low | No relation | High | High | High | No relation | Low | Low | |
| 2 | Low | No relation | High | Low | Low | No relation | High | High | High | No relation | Low | Low | |
| 3 | No relation | No relation | High | Low | Low | No relation | High | High | High | No relation | Low | Low | |
| 4 | No relation | No relation | High | Low | Low | No relation | High | High | High | No relation | Low | Low | |
| 5 | No relation | No relation | High | Low | Low | No relation | High | High | High | No relation | Low | Low | |
Mode of Delivery
Face to Face
Prerequisites and Co-Requisites
None
Recommended Optional Programme Components
Not Required
Course Contents
Introduction to Text Mining: Jumble Text Data Mining Introduction to Statistical Natural Language Processing (NLP) Mathematical Foundations Linguistic Fundamentals and Corpus-Based Study Collocation Selection with Collocated Frequency, Hypothesis Tests, Mutual Information Statistical Inference: n-gram Models According to Sparse Data For data mining algorithms preparation. Cluster Classification Web page classification
Recommended or Required Reading
Planned Learning Activities and Teaching Methods
Assessment Methods and Criteria
Language of Instruction
Turkish
Work Placement(s)
Not Required