Classifiers can be used to perform a wide range of classification tasks. . For example, classifiers can be used. . classify (featureset) self.

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In any case the most important thing is to collect a very large corpus of properly tagged text messages.

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. Maybe we&39;re trying to classify text as about politics or the military. 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. book or nltk.

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nlp - Multiclass text classification with python and nltk - Stack Overflow. Aug 7, 2019 text file. Typically, labels are represented with strings (such as &39;health&39; or &39;sports&39;).

py aims to make it easy to train and save a classifier.