. NaiveBayesClassifier () is a out-of-box multi-class classifier.
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Nov 30, 2017 In classification, and especially in text classification, choosing the right machine learning algorithm often comes after selecting the right features.
pcavec vec.
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Bag of Words (BoW) model.
I am very new to Text Classification and I am trying to classify each line of a dataset composed by twitter comments according to some pre-defined topics.
Supervised Learning Overview Convert training data to a set of vectors of features (input) & label (output) Build a model based on the statistical properties of features in the training set, e.
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There are two types of classification tasks Binary Classification in this type, there are only two classes to predict, like spam email classification.
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Typically, labels are represented with strings (such as &39;health&39; or &39;sports&39;).
Text classification is a machine learning subfield that teaches computers how to classify text into different categories.
Maybe we&39;re trying to classify text as about politics or the military.
classifymany (featuresets) self.
Text classification is used to organize, structure, and categorize unstructured text.
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