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Using Feature Selection Methods in Text Classification
In text classification, the feature selection is the process of selecting a specific subset of the terms of the training set and using only them in the classification algorithm. The feature selection process takes place before the training of the classifier. Update: The Datumbox Machine Learning Framework is now open-source and free to download. Check […]
In text classification, the feature selection is the process of selecting a specific subset of the terms of the training set and using only them in the classification algorithm. The feature selection process takes place before the training of the classifier. Update: The Datumbox Machine Learning Framework is now open-source and free to download. Check […]
