Friday 28 February 2014

How to find Information gain in text classification?

How to find Information gain in text classification?



1.How to find Information gain in text classification ...

Description:I am working on text classification using Decision Tree which
uses information gain as the main value for categorisation of text
document. I have extracted few ...



2.Introduction to Text Classification (11) information gain ...

Description:Introduction to Text Classification (11) information gain
feature selection ... (CHI) other than the information gain (IG, ... I
will always find a companion ...



3.Information Gain Feature Selection for Ordinal Text ...

Description:Information Gain Feature Selection for Ordinal Text
Classification using Probability ... Information Gain Feature Selection
for Ordinal Text Classification ...



4.Information gain in decision trees - Wikipedia, the free ...

Description:Information gain is often used to decide which of the
attributes are ... Classification algorithms; Hidden ... Text is available
under the Creative Commons ...



5.why do best features selected by information gain add ...

Description:I used bag of words features for text classification using
SVM. ... But when I used information gain to see which features
contributed most, ...



6.Information gain ratio - Wikipedia, the free encyclopedia

Description:Information gain is often used to decide which of the
attributes are ... Classification algorithms; Entropy ... Text is
available under the Creative Commons ...



7.python - Decrease of accuracy in text classification using ...

Description:... Information Gain, in order to select the top k features. I
was expe ... I am dealing with a text classification problem using machine
learning. ...



8.Information Gain Feature Selection for Ordinal Text ...

Description:This paper looks at feature selection for ordinal text
classification. ... {Information Gain Feature Selection for Ordinal Text
Classification using Probability ...



9.Text Categorization - City University of New York

Description:Machine Learning in Automated Text ... Information Gain (IG)
... The objective is then to find P(a,b) which maximizes



10.Text classification and Naive Bayes - Stanford University

Description:Text classification and Naive Bayes. ... It is easier to find
messages in sorted ... the ranking function in ad hoc information
retrieval can also be based on a ...

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