How to write trained Word2Vec model to CSV with DeepLearning4j

I used DeepLearning4j to train word2vec model. Then I had to save the dictionary to CSV so I can run some clustering algorithms on it.

Sounded like a simple task, but it took a while, and here is the code to do this:

   private void writeIndexToCsv(String csvFileName, Word2Vec model) {

        CSVWriter writer = null;
        try {
            writer = new CSVWriter(new FileWriter(csvFileName));
        } catch (IOException e) {
            e.printStackTrace();
        }

        VocabCache<VocabWord> vocCache =  model.vocab();
        Collection<VocabWord> wrds = vocCache.vocabWords();

        for(VocabWord w : wrds) {
            String s = w.getWord();
            System.out.println("Looking into the word:");
            System.out.println(s);
            StringBuilder sb = new StringBuilder();
            sb.append(s).append(",");
            double[] wordVector = model.getWordVector(s);
            for(int i = 0; i < wordVector.length; i++) {
                sb.append(wordVector[i]).append(",");
            }

            writer.writeNext(sb.toString().split(","), false);
        }

        try {
            writer.close();
        } catch (IOException e) {
            e.printStackTrace();
        }

    }