Given 5 documents: D1, D2, D3, D4, D5 (see image 1) The dictionary consists of 8 words: w1= data, w2 = system, w3 = algorithm, w4 = computer, w5 = geometry, w6 = structure, w7 = analysis, w8 = organization PS: after stemming, “computer” is the same as “computational”, as well as “algorithms” and “algorithm”. (a) Give the value of tf(wi, Di) (b) Give the value of idf(wi) (c) Convert each document into an 8-dimensional point according to the tf-idf model as defined in image 2

Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
Section: Chapter Questions
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Given 5 documents: D1, D2, D3, D4, D5 (see image 1)

The dictionary consists of 8 words: w1= data, w2 = system, w3 = algorithm, w4 = computer, w5 = geometry, w6 = structure, w7 = analysis, w8 = organization

PS: after stemming, “computer” is the same as “computational”, as well as “algorithms” and “algorithm”.

(a) Give the value of tf(wi, Di)

(b) Give the value of idf(wi)

(c) Convert each document into an 8-dimensional point according to the tf-idf model as defined in image 2.

document words
D1
D2
D3
D4
D5
Data Base System Concepts
Introduction to Algorithms
Computational Geometry: Algorithms and Applications
Data Structures and Algorithm Analysis on Massive Data Sets
Computer Organization
Transcribed Image Text:document words D1 D2 D3 D4 D5 Data Base System Concepts Introduction to Algorithms Computational Geometry: Algorithms and Applications Data Structures and Algorithm Analysis on Massive Data Sets Computer Organization
tf-idf weighting
• The tf-idf weight of a term is the product of its tf weight and its idf
weight.
N
Wt.a =
(1+ log(tft,a))×log(-
df'
Transcribed Image Text:tf-idf weighting • The tf-idf weight of a term is the product of its tf weight and its idf weight. N Wt.a = (1+ log(tft,a))×log(- df'
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