
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
Text-to-Speech: ::::
X-Ray:
Word Wise: Not Enabled
Lending: Not Enabled
Enhanced Typesetting:
Format: PDF ePub fb2 TXT fb2 book
- Dwight Sunada pdf
- Dwight Sunada ebooks
- Amazon Digital Services LLC pdf
- Computers and Technology pdf ebooks
- English epub
Read Mars an venus in the beroom ebook baituwosuin.wordpress.com Summit a novel Download Writing about writing a college reaer ownloa pdf at ledulmeicent.wordpress.com Special operations fitness 10 Here The blank book a series of unfortunate events journal pdf link Textbookbookie Read Sexy little numbers how to grow your business using the data you already have ebook ciomichifron.wordpress.com
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.