StanfordCoreNLPSentimentDemo.java

/*
working with
 javax.json.jar
 joda-time.jar
 jollyday.jar
 stanford-corenlp-3.5.1-models.jar
 stanford-corenlp-3.5.1.jar
 ejml-0.23.jar
 in build path
 */

import java.io.*;
import java.util.*;

import edu.stanford.nlp.dcoref.*;
import edu.stanford.nlp.io.*;
import edu.stanford.nlp.ling.*;
import edu.stanford.nlp.neural.rnn.*;
import edu.stanford.nlp.pipeline.*;
import edu.stanford.nlp.semgraph.*;
import edu.stanford.nlp.sentiment.*;
import edu.stanford.nlp.trees.*;
import edu.stanford.nlp.util.*;

public class StanfordCoreNlpSentimentDemo {

  // the text to process. 
  private static final String line = "bad. not so good. ok. pretty neat. amazing";

  public static void main(String[] args) {
    // set up optional output files
    PrintWriter out = new PrintWriter(System.out);

    // Create a CoreNLP pipeline with custom properties
    Properties props = new Properties();
    props.setProperty("annotators", "tokenize, ssplit, parse, sentiment");
    StanfordCoreNLP pipeline = new StanfordCoreNLP(props);

    // Initialize an Annotation with some text to be annotated. The text is
    // the string LINE
    Annotation annotation = new Annotation(line);

    // run all the selected Annotators on this text
    pipeline.annotate(annotation);

    // print the results 
    pipeline.prettyPrint(annotation, out);

    // Access the Annotation in code
    // The toString() method on an Annotation just prints the text of the
    // Annotation
    // But you can see what is in it with other methods like
    // toShorterString()
    out.println();
    out.println("The top level annotation");
    out.println(annotation.toShorterString());

    // An Annotation is a Map and you can get and use the various analyses
    // individually.
    // For instance, this gets the parse tree of the sentences in the
    // text.
    List<CoreMap> sentences = annotation.get(CoreAnnotations.SentencesAnnotation.class);

    if (sentences != null && !sentences.isEmpty()) {
      for (int i = 0; i < sentences.size (); i++) {
        CoreMap sentence = sentences.get(i);
        Tree tree = sentence.get(SentimentCoreAnnotations.AnnotatedTree.class);
        int sentiment = RNNCoreAnnotations.getPredictedClass(tree);
        String sentimentName = sentence.get(SentimentCoreAnnotations.ClassName.class);

        out.println();
        out.println("The sentence is:");
        out.println(sentence.toShorterString());
        out.println();
        out.println("Sentiment of \n> \""+sentence.get(CoreAnnotations.TextAnnotation.class)+"\"\nis: " + sentiment+" (i.e., "+sentimentName+")");
        out.println();
      }
    }

    IOUtils.closeIgnoringExceptions(out);
  }
}

StanfordCoreNLPSentimentProcessingDemo

/*
working with
 javax.json.jar
 joda-time.jar
 jollyday.jar
 stanford-corenlp-3.5.1-models.jar
 stanford-corenlp-3.5.1.jar
 ejml-0.23.jar
 in build path
 */

import java.io.*;
import java.util.*;
import edu.stanford.nlp.dcoref.*;
import edu.stanford.nlp.io.*;
import edu.stanford.nlp.ling.*;
import edu.stanford.nlp.neural.rnn.*;
import edu.stanford.nlp.pipeline.*;
import edu.stanford.nlp.semgraph.*;
import edu.stanford.nlp.sentiment.*;
import edu.stanford.nlp.trees.*;
import edu.stanford.nlp.util.*;
import processing.core.*;


public class StanfordCoreNLPSentimentProcessingDemo extends PApplet {

  public void setup() {
    size(200, 200);
    background(0);

    String line = "bad. not so good. ok. pretty neat. amazing";
    sentiment(line);
  }

  public void sentiment(String l) {
    // set up optional output files
    PrintWriter out = new PrintWriter(System.out);

    // Create a CoreNLP pipeline with custom properties
    Properties props = new Properties();
    props.setProperty("annotators", "tokenize, ssplit, parse, sentiment");
    StanfordCoreNLP pipeline = new StanfordCoreNLP(props);

    // Initialize an Annotation with some text to be annotated. 
    // The text is the String line
    Annotation annotation = new Annotation(l);

    // run all the selected Annotators on this text
    pipeline.annotate(annotation);

    // print the results 
    pipeline.prettyPrint(annotation, out);

    // Access the Annotation in code
    // The toString() method on an Annotation just prints the text of the
    // Annotation
    // But you can see what is in it with other methods like
    // toShorterString()
    out.println();
    out.println("The top level annotation");
    out.println(annotation.toShorterString());

    // An Annotation is a Map and you can get and use the various analyses
    // individually.
    // For instance, this gets the parse tree of the sentences in the
    // text.
    List<CoreMap> sentences = annotation.get(CoreAnnotations.SentencesAnnotation.class);

    if (sentences != null && !sentences.isEmpty()) {
      for (int i = 0; i < sentences.size (); i++) {
        CoreMap sentence = sentences.get(i);
        Tree tree = sentence.get(SentimentCoreAnnotations.AnnotatedTree.class);
        int sentiment = RNNCoreAnnotations.getPredictedClass(tree);
        String sentimentName = sentence.get(SentimentCoreAnnotations.ClassName.class);

        out.println();
        out.println("The sentence is:");
        out.println(sentence.toShorterString());
        out.println();
        out.println("Sentiment of \n> \""+sentence.get(CoreAnnotations.TextAnnotation.class)+"\"\nis: " + sentiment+" (i.e., "+sentimentName+")");
        out.println();
      }
    }

    IOUtils.closeIgnoringExceptions(out);
  }
}