Classifying documents using the Stanford API

The Stanford OpenNLP API provides another technique for classifying documents. In this recipe, we will demonstrate how to train a model and then use it to classify the text. We will create a training file and a test file for the purposes of classifying flowers and spices. We will also create a properties file to provide information so the classifier can work correctly. The ColumnDataClassifier class is used to represent the classifier.

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:

<!-- https://mvnrepository.com/artifact/edu.stanford.nlp/stanford-corenlp -->
<dependency>
...