NLP : Standford NER 7class Model Example

Standford NER provide 7class model to recognise PERSON, LOCATION, ORGANIZATION, DATE, TIME, PERCENT, MONEY.In previous blogs we have discussed 3class model example. In this article we will discuss 7class model with example.

Steps:

Step 1 : Download  Standford ner zip file.

Step 2: Extract Stanford bundle , add standfor-ner jar file into your project classpath.

Step 3 : write below code snippets

//path of classifier we want to load
String classierPath = "D:\\classifiers\\english.muc.7class.distsim.crf.ser.gz";

//content that we want to classify
String fileContents = "\"barak Obama was born in 1961 in Honolulu, Hawaii,\" in 1988 Obama enrolled in Harvard Law School. My friend got 98% in 10th standard.";

//Load classifier , classifier should be load only one time
AbstractSequenceClassifier classifier = CRFClassifier.getClassifierNoExceptions(classierPath);

//classify the text
List<List<CoreLabel>> out = classifier.classify(fileContents);

//iterate the result and print it.
for (List<CoreLabel> sentence : out) {
    for (CoreLabel word : sentence) {
        //unclassify label class is O , we will not print it here
        if(word.getString(CoreAnnotations.AnswerAnnotation.class).equals("O"))
            continue;
        System.out.println(word.word() + " = " + word.get(CoreAnnotations.AnswerAnnotation.class) );
    }

}

output:

Loading classifier from D:\classifiers\english.muc.7class.distsim.crf.ser.gz ... done [7.1 sec].
Obama = PERSON
1961 = DATE
Honolulu = LOCATION
Hawaii = LOCATION
1988 = DATE
Harvard = ORGANIZATION
Law = ORGANIZATION
School = ORGANIZATION
98 = PERCENT
% = PERCENT

Standford NER live demo output:

Refer Live demo , Standford CRF , CoreNLP annotators for details.