Java Deep Learning Cookbook

How to do it...

1. Load the word vector model using WordVectorSerializer:

WordVectors wordVectors = WordVectorSerializer.loadStaticModel(new File(WORD_VECTORS_PATH));

2. Create a sentence provider using FileLabeledSentenceProvider:

 Map<String,List<File>> reviewFilesMap = new HashMap<>(); reviewFilesMap.put("Positive", Arrays.asList(filePositive.listFiles())); reviewFilesMap.put("Negative", Arrays.asList(fileNegative.listFiles())); LabeledSentenceProvider sentenceProvider = new FileLabeledSentenceProvider(reviewFilesMap, rndSeed); 

3. Create train iterators or test iterators using CnnSentenceDataSetIterator to load the IMDB review data:

CnnSentenceDataSetIterator iterator = new CnnSentenceDataSetIterator.Builder(CnnSentenceDataSetIterator.Format.CNN2D) ...