Java: Data Science Made Easy

Using OpenNLP to perform NER

We start our example with a try-catch block to handle exceptions. OpenNLP uses models that have been trained on different sets of data. In this example, the en-token.bin and en-ner-person.bin files contain the models for the tokenization of English text and for English name elements, respectively. These files can be downloaded from http://opennlp.sourceforge.net/models-1.5/. However, the IO stream used here is standard Java:

try (InputStream tokenStream =              new FileInputStream(new File("en-token.bin"));         InputStream personModelStream = new FileInputStream(             new File("en-ner-person.bin"));) {     ... } catch (Exception ex) {     // Handle exceptions } 

An instance of the TokenizerModel class is initialized using the ...