SemanticTermsMapper.java

/*=============================================================================
|   Assignment:  Final Project - Multiple Document Summarization
|       Author:  Group7 - (Sampath, Ajay, Visesh)
|       Grader:  Walid Shalaby
|
|       Course:  ITCS 6190
|   Instructor:  Srinivas Akella
|
|     Language:  Java 
|     Version :  1.8.0_101
|                
| Deficiencies:  No logical errors.
*===========================================================================*/

import java.io.IOException;
import org.apache.hadoop.io.IntWritable;
import org.apache.hadoop.io.LongWritable;
import org.apache.hadoop.io.Text;
import org.apache.hadoop.mapreduce.Mapper;
import edu.smu.tspell.wordnet.WordNetDatabase;
import edu.smu.tspell.wordnet.Synset;
import java.text.ParseException;

/*
 * Mapper to get semantically similar for each topic term in the topic list.
 * */
public class SemanticTermsMapper extends Mapper<LongWritable, Text, Text, IntWritable> {
	private final static IntWritable one = new IntWritable(1);

	public void map(LongWritable offset, Text lineText, Context context) throws IOException, InterruptedException {
		try {
			String term = lineText.toString();
			Text currTopic = new Text(term);
			WordNetDatabase database = WordNetDatabase.getFileInstance();
			if (term != null) {
				Synset[] similarTerms = database.getSynsets(term);
				if (similarTerms.length > 0) {
					for (int i = 0; i < similarTerms.length; i++) {
						String[] wordForms = similarTerms[i].getWordForms();
						for (int j = 0; j < wordForms.length; j++) {
							context.write(new Text(wordForms[j]), one);
						}
					}
				}
			}
			context.write(currTopic, one);
		} catch (Exception ex) {
			System.out.println(ex);
		}
	}
}