opennlp-similarity/src/main/java/opennlp/tools/parse_thicket/opinion_processor/ExpressionSentimentAnalyzer.java

/*
 * Licensed to the Apache Software Foundation (ASF) under one or more
 * contributor license agreements.  See the NOTICE file distributed with
 * this work for additional information regarding copyright ownership.
 * The ASF licenses this file to You under the Apache License, Version 2.0
 * (the "License"); you may not use this file except in compliance with
 * the License. You may obtain a copy of the License at
 *
 *     http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 */
package opennlp.tools.parse_thicket.opinion_processor;

import java.util.Properties;

import edu.stanford.nlp.ling.CoreAnnotations;
import edu.stanford.nlp.neural.rnn.RNNCoreAnnotations;
import edu.stanford.nlp.pipeline.Annotation;
import edu.stanford.nlp.pipeline.StanfordCoreNLP;
import edu.stanford.nlp.sentiment.SentimentCoreAnnotations;
import edu.stanford.nlp.sentiment.SentimentCoreAnnotations.SentimentAnnotatedTree;
import edu.stanford.nlp.trees.Tree;
import edu.stanford.nlp.util.CoreMap;

public class ExpressionSentimentAnalyzer {
	float findSentiment(String line) {
		Properties props = new Properties();
		props.setProperty("annotators", "tokenize, ssplit, parse, sentiment");
		StanfordCoreNLP pipeline = new StanfordCoreNLP(props);
		int mainSentiment = 0;
		if (line != null && line.length() > 0) {
			int longest = 0;
			Annotation annotation = pipeline.process(line);
			for (CoreMap sentence : annotation.get(CoreAnnotations.SentencesAnnotation.class)) {
				Tree tree = sentence.get(SentimentAnnotatedTree.class);
				int sentiment = RNNCoreAnnotations.getPredictedClass(tree);
				String partText = sentence.toString();
				if (partText.length() > longest) {
					mainSentiment = sentiment;
					longest = partText.length();
				}
			}
		}
		return mainSentiment;
	}

	public static void main(String[] args) {
		float sent = new ExpressionSentimentAnalyzer().findSentiment("poor president nomee Hilary Clinton visited Mexico");
		System.out.println(sent);
	}
}