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Building a Naive Bayes Text Classifier and Accounting for Document Length

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Last 37 days · 37 data points (no recent data)

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£196.58 £186.75 £190.68 £194.61 £198.55 £202.48 £206.41 11 August 2026 20 August 2026 29 August 2026 07 September 2026 16 September 2026
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Price distribution over 37 days • 1 price levels

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37 days 0 9 19 28 37 £197 Days at Price

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Most common price: £197 (37 days, 100.0%)

Price range: £197 - £197

Price levels: 1 different prices over 37 days

Description
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 such a classifier 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.

Product Specifications
Format
paperback
ASIN
1521523800
Category
Books > Subjects > Computing & Internet > Computer Science > Information Systems
Domain
Amazon UK
Release Date
26 June 2017
Listed Since
26 June 2017

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