Ebook by Dwight Sunada - Building A Naive Bayes Text Classifier And Accounting For Document Length Pdf

Building A Naive Bayes Text Classifier And Accounting For Document Length

By autor: Dwight Sunada
Computers and Technology books
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Classification is the process of determining the class to which an object belongs. An example of such classification is text classification: assigning a document to a category. When the number of documents is large, classification requires automation. One statistical method for performing text classification on a computer is the naive Bayes classifier. This report presents the theory behind s...

File Size: 1288 KB
Print Length: 60 pages
Publication Date: June 9, 2016
Sold by: Amazon Digital Services LLC
Language: English
ASIN: B01GW9457G
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ifier and explains the relationship between document length and the Bayesian equations for classification. This report also presents the implementation of various naive Bayes classifiers and examines their performance. Among these classifiers, the multinomial naive Bayes classifier performs best.