Word2Vec Usage from Java with Apache Spark

gistfile1.java

        Word2VecModel model_stemmed = ModelUtil.loadWord2VecModel("/Users/mueller/Coding/Word2Vectors/webbase10p/model_word2vec_stemmed.ser");
        Word2VecModel model_unstemmed = ModelUtil.loadWord2VecModel("/Users/mueller/Coding/Word2Vectors/webbase10p/model_word2vec.ser");
        System.out.println("Stemmed example");
        System.out.println("#############################################");

        String term1= "scholar";
        String term2 ="student";

        //To Stem terms the Porter Stemmer from Apache Lucene is used
        double result = Word2VecSim.cousineSimilarityBetweenTerms(model_stemmed,ModelUtil.porter_stem(term1),ModelUtil.porter_stem(term2));
        System.out.println("Similarity between " + term1 + " " + term2 +" is "+ result);


        //get synonyms for term
        System.out.println("Get Top 20 Synonyms for "+term1);
        for (Tuple2<String, Object> lunch : model_stemmed.findSynonyms(term1, 20)) {
            System.out.println(lunch._1());
        }


        System.out.println("UnStemmed example");
        System.out.println("#############################################");

        double result_unstemmed = Word2VecSim.cousineSimilarityBetweenTerms(model_unstemmed,term1,term2);
        System.out.println("Similarity between unstemmed" + term1 + " " + term2 +" is "+ result_unstemmed);