OpenNLPDocumentCategorizer

Synopsis

Categorizes documents with a model trained with OpenNLPDocumentCategorizerTrain .

This module is experimental.

Description

OpenNLPDocumentCategorizer uses a model trained with OpenNLPDocumentCategorizerTrain to categorize unlabeled documents. The documents are specified by documents . The classifier algorithm uses the document content specified by tokens and form .

Snippet

📋

<opennlpdocumentcategorizer class="OpenNLPDocumentCategorizer">
    <categoryFeature></categoryFeature>
    <model></model>
</opennlpdocumentcategorizer>

Mandatory parameters

categoryFeature

Feature where to store the predicted category.

model

Model file generated with OpenNLPDocumentCategorizerTrain .

Optional parameters

scoreFeature

Feature where to store the score of the predicted category.

scoresFeaturePrefix

Prefix of feature names where to store the score of each category.

documents

Elements to classify. This expression is evaluated from the corpus.

form

Form of the token. This expression is evaluated as a string from the token.

tokens

Tokens of the elements to classify. This expression is evaluated as a list of elements from the element to classify.

Deprecated parameters