1. APPLYING INFORMATION RETRIEVAL TO TEXT MINING 2011.10.26. Data mining Lab 이아람

2. IR ( Information retrieval )  Returning relevant texts for query  A measure of similarity is computed between the query and each document  The similarity scores The vector space model

3. Counting Letters

6. Counting words

8. Counting Pronouns Occurring

9. heshe himher hisher hishers himselfherself

10. TEXT COUNT AND VECTOR

11. Vectors and Angles  두 Text 를 비교하기 위해 Angle 이용  Vector 를 이용하여 Angle 을 구한다.  Angle 값이 0 에 가까울 수록 두 Text 는 유사함

12. Vectors and Angles  Inner product  Dot product

13. Vectors and Angles  Vector length =

14. Computing Angles

17. cosθ = 0.89503 Angle of 0.46230 radians, which about 26.5º