Maurice Tutor

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Teaching Since: May 2017
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  • MCS,PHD
    Argosy University/ Phoniex University/
    Nov-2005 - Oct-2011

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  • Professor
    Phoniex University
    Oct-2001 - Nov-2016

Category > Communications Posted 27 Aug 2017 My Price 9.00

vector of attributes

    1. Whizzco decide to make a text classifier. To begin with they attempt to classify documents as either sport or politics. They decide to represent each document as a (row) vector of attributes describing the presence or absence of words.

x = (goal , football , golf , defence , offence , wicket , office , strategy . ) (10.7.6)

Training data from sport documents and from politics documents is represented below in MATLAB using a matrix in which each row represents the eight attributes.

xP=[1

0

1

1

1

0

1

1;

%

Politics

xS=[1

1

0

0

0

0

0

0; % Sport

0

0

0

1

0

0

1

1;

    

0

0

1

0

0

0

0

0;

1

0

0

1

1

0

1

0;

    

1

1

0

1

0

0

0

0;

0

1

0

0

1

1

0

1;

    

1

1

0

1

0

0

0

1;

0

0

0

1

1

0

1

1;

    

1

1

0

1

1

0

0

0;

0

0

0

1

1

0

0

1]

    

0

0

0

1

0

1

0

0;
                   

1

1

1

1

1

0

1

0].

Using a maximum likelihood naive Bayes classifier, what is the probability that the document x =

(1 , 0 , 0 , 1 , 1 , 1 , 1 , 0) is about politics?

Answers

Maurice Tutor
(5)
Status NEW Posted 27 Aug 2017 03:08 PM My Price 9.00

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