Natural Language Processing with Python by Steven Bird Ewan Klein & Edward Loper

Author:Steven Bird, Ewan Klein & Edward Loper
Language: eng
Format: epub
Tags: COMPUTERS / Programming Languages / Python
ISBN: 9780596803391
Publisher: O’Reilly Media
Published: 2009-06-12T04:00:00+00:00

Naive Bayes Classifiers

In naive Bayes classifiers, every feature gets a say in determining which label should be assigned to a given input value. To choose a label for an input value, the naive Bayes classifier begins by calculating the prior probability of each label, which is determined by checking the frequency of each label in the training set. The contribution from each feature is then combined with this prior probability, to arrive at a likelihood estimate for each label. The label whose likelihood estimate is the highest is then assigned to the input value. Figure 6-6 illustrates this process.

Download

Copyright Disclaimer:
This site does not store any files on its server. We only index and link to content provided by other sites. Please contact the content providers to delete copyright contents if any and email us, we'll remove relevant links or contents immediately.