Example 24 Online edition (c)2009 Cambridge UP 13.2 Naive Bayes text classiﬁcation 261! Table 13.1 Data for parameter estimation examples. docID words in document in c = China? training set 1 Chinese Beijing Chinese yes 2ChineseChineseShanghai yes 3ChineseMacao yes 4TokyoJapanChinese no test set 5 Chinese Chinese Chinese Tokyo Japan ?!.
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Naive Bayes in practice. Congratulations! You have made it through the mathematical derivation of Naive Bayes. From here on we will discuss common ways of pre-processing data when it comes to the usage of Naive Bayes for text classification. We will also investigate their impact on accuracy and number of features by running a bunch of experiments.
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