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Our discussion is not intended to be comprehensive, but to give a representative sample of tasks that can be performed with the help of text classifiers.

Note Most classification methods require that features be encoded using simple value types, such as booleans, numbers, and strings.

These observable patterns — word structure and word frequency — happen to correlate with particular aspects of meaning, such as tense and topic.

But how did we know where to start looking, which aspects of form to associate with which aspects of meaning?

Pairs of feature sets and labels are fed into the machine learning algorithm to generate a model.

(b) During prediction, the same feature extractor is used to convert unseen inputs to feature sets.

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