Examples with DefaultTokenizerFactory org.deeplearning4j.text.tokenization.tokenizerfactory.DefaultTokenizerFactory used on opensource projects

Example 36 with DefaultTokenizerFactory

use of org.deeplearning4j.text.tokenization.tokenizerfactory.DefaultTokenizerFactory in project deeplearning4j by deeplearning4j.

the class SequenceVectorsTest method testGlove1.

@Ignore
@Test
public void testGlove1() throws Exception {
    logger.info("Max available memory: " + Runtime.getRuntime().maxMemory());
    ClassPathResource resource = new ClassPathResource("big/raw_sentences.txt");
    File file = resource.getFile();
    BasicLineIterator underlyingIterator = new BasicLineIterator(file);
    TokenizerFactory t = new DefaultTokenizerFactory();
    t.setTokenPreProcessor(new CommonPreprocessor());
    SentenceTransformer transformer = new SentenceTransformer.Builder().iterator(underlyingIterator).tokenizerFactory(t).build();
    AbstractSequenceIterator<VocabWord> sequenceIterator = new AbstractSequenceIterator.Builder<>(transformer).build();
    VectorsConfiguration configuration = new VectorsConfiguration();
    configuration.setWindow(5);
    configuration.setLearningRate(0.06);
    configuration.setLayersSize(100);
    SequenceVectors<VocabWord> vectors = new SequenceVectors.Builder<VocabWord>(configuration).iterate(sequenceIterator).iterations(1).epochs(45).elementsLearningAlgorithm(new GloVe.Builder<VocabWord>().shuffle(true).symmetric(true).learningRate(0.05).alpha(0.75).xMax(100.0).build()).resetModel(true).trainElementsRepresentation(true).trainSequencesRepresentation(false).build();
    vectors.fit();
    double sim = vectors.similarity("day", "night");
    logger.info("Day/night similarity: " + sim);
    sim = vectors.similarity("day", "another");
    logger.info("Day/another similarity: " + sim);
    sim = vectors.similarity("night", "year");
    logger.info("Night/year similarity: " + sim);
    sim = vectors.similarity("night", "me");
    logger.info("Night/me similarity: " + sim);
    sim = vectors.similarity("day", "know");
    logger.info("Day/know similarity: " + sim);
    sim = vectors.similarity("best", "police");
    logger.info("Best/police similarity: " + sim);
    Collection<String> labels = vectors.wordsNearest("day", 10);
    logger.info("Nearest labels to 'day': " + labels);
    sim = vectors.similarity("day", "night");
    assertTrue(sim > 0.6d);
}

Example 37 with DefaultTokenizerFactory

use of org.deeplearning4j.text.tokenization.tokenizerfactory.DefaultTokenizerFactory in project deeplearning4j by deeplearning4j.

the class DefaultDocumentIteratorTest method testDocumentIterator.

@Test
public void testDocumentIterator() throws Exception {
    ClassPathResource reuters5250 = new ClassPathResource("/reuters/5250");
    File f = reuters5250.getFile();
    DocumentIterator iter = new FileDocumentIterator(f.getAbsolutePath());
    InputStream doc = iter.nextDocument();
    TokenizerFactory t = new DefaultTokenizerFactory();
    Tokenizer next = t.create(doc);
    String[] list = "PEARSON CONCENTRATES ON FOUR SECTORS".split(" ");
    ///PEARSON CONCENTRATES ON FOUR SECTORS
    int count = 0;
    while (next.hasMoreTokens() && count < list.length) {
        String token = next.nextToken();
        assertEquals(list[count++], token);
    }
    doc.close();
}

Example 38 with DefaultTokenizerFactory

use of org.deeplearning4j.text.tokenization.tokenizerfactory.DefaultTokenizerFactory in project deeplearning4j by deeplearning4j.

the class DefaulTokenizerTests method testDefaultStreamTokenizer.

@Test
public void testDefaultStreamTokenizer() throws Exception {
    String toTokenize = "Mary had a little lamb.";
    TokenizerFactory t = new DefaultTokenizerFactory();
    Tokenizer tokenizer2 = t.create(new ByteArrayInputStream(toTokenize.getBytes()));
    assertEquals(5, tokenizer2.countTokens());
    int cnt = 0;
    while (tokenizer2.hasMoreTokens()) {
        String tok1 = tokenizer2.nextToken();
        log.info(tok1);
        cnt++;
    }
    assertEquals(5, cnt);
}

Example 39 with DefaultTokenizerFactory

use of org.deeplearning4j.text.tokenization.tokenizerfactory.DefaultTokenizerFactory in project deeplearning4j by deeplearning4j.

the class DefaulTokenizerTests method testDefaultTokenizer2.

@Test
public void testDefaultTokenizer2() throws Exception {
    String toTokenize = "Mary had a little lamb.";
    TokenizerFactory t = new DefaultTokenizerFactory();
    Tokenizer tokenizer = t.create(toTokenize);
    Tokenizer tokenizer2 = t.create(new ByteArrayInputStream(toTokenize.getBytes()));
    tokenizer2.countTokens();
    while (tokenizer.hasMoreTokens()) {
        String tok1 = tokenizer.nextToken();
        String tok2 = tokenizer2.nextToken();
        assertEquals(tok1, tok2);
    }
    System.out.println("-----------------------------------------------");
    ClassPathResource resource = new ClassPathResource("reuters/5250");
    String str = FileUtils.readFileToString(resource.getFile());
    int stringCount = t.create(str).countTokens();
    int stringCount2 = t.create(resource.getInputStream()).countTokens();
    log.info("String tok: [" + stringCount + "], Stream tok: [" + stringCount2 + "], Difference: " + Math.abs(stringCount - stringCount2));
    assertTrue(Math.abs(stringCount - stringCount2) < 2);
}

Example 40 with DefaultTokenizerFactory

use of org.deeplearning4j.text.tokenization.tokenizerfactory.DefaultTokenizerFactory in project deeplearning4j by deeplearning4j.

the class DefaulTokenizerTests method testDefaultTokenizer1.

@Test
public void testDefaultTokenizer1() throws Exception {
    String toTokenize = "Mary had a little lamb.";
    TokenizerFactory t = new DefaultTokenizerFactory();
    Tokenizer tokenizer = t.create(toTokenize);
    Tokenizer tokenizer2 = t.create(new ByteArrayInputStream(toTokenize.getBytes()));
    int position = 1;
    while (tokenizer2.hasMoreTokens()) {
        String tok1 = tokenizer.nextToken();
        String tok2 = tokenizer2.nextToken();
        log.info("Position: [" + position + "], token1: '" + tok1 + "', token 2: '" + tok2 + "'");
        position++;
        assertEquals(tok1, tok2);
    }
    ClassPathResource resource = new ClassPathResource("reuters/5250");
    String str = FileUtils.readFileToString(resource.getFile());
    int stringCount = t.create(str).countTokens();
    int stringCount2 = t.create(resource.getInputStream()).countTokens();
    assertTrue(Math.abs(stringCount - stringCount2) < 2);
}