Classifying documents using a maximum entropy model

In this recipe, we will use the model developed in the previous recipe, Training a maximum entropy model for text classification, to classify text. We will use the DocumentCategorizerME class to perform the classification.

The model will be read in from the en-frograt.bin file created in the previous recipe. A test sentence is used and the best category and an estimate of how good of a fit was achieved is displayed.

Getting ready

To prepare, we need to do the following:

1. Create a new Maven project
2. Add the following dependency to the project's POM file:

<dependency>
    <groupId>org.apache.opennlp</groupId>
    <artifactId>opennlp-tools</artifactId...