Examples with Features com.ibm.watson.developer_cloud.natural_language_understanding.v1.model.Features used on opensource projects

Example 1 with Features

use of com.ibm.watson.developer_cloud.natural_language_understanding.v1.model.Features in project java-sdk by watson-developer-cloud.

the class NaturalLanguageUnderstandingIT method analyzeTextForSentimentWithoutTargetsIsSuccessful.

/**
 * Analyze input text for sentiment without targets.
 *
 * @throws Exception the exception
 */
@Test
public void analyzeTextForSentimentWithoutTargetsIsSuccessful() throws Exception {
    SentimentOptions options = new SentimentOptions.Builder().document(true).build();
    Features features = new Features.Builder().sentiment(options).build();
    AnalyzeOptions parameters = new AnalyzeOptions.Builder().text(text).features(features).returnAnalyzedText(true).build();
    AnalysisResults results = service.analyze(parameters).execute();
    assertNotNull(results);
    assertEquals(results.getAnalyzedText(), text);
    assertEquals(results.getLanguage(), "en");
    assertNotNull(results.getSentiment());
    assertNotNull(results.getSentiment().getDocument());
    assertNotNull(results.getSentiment().getDocument().getScore());
    assertNull(results.getSentiment().getTargets());
}

Example 2 with Features

use of com.ibm.watson.developer_cloud.natural_language_understanding.v1.model.Features in project java-sdk by watson-developer-cloud.

the class NaturalLanguageUnderstandingIT method analyzeHtmlForDisambiguationIsSuccessful.

/**
 * Analyze html for disambiguation.
 *
 * @throws Exception the exception
 */
@Test
public void analyzeHtmlForDisambiguationIsSuccessful() throws Exception {
    EntitiesOptions entities = new EntitiesOptions.Builder().sentiment(true).limit(1).build();
    Features features = new Features.Builder().entities(entities).build();
    AnalyzeOptions parameters = new AnalyzeOptions.Builder().url("www.cnn.com").features(features).build();
    AnalysisResults results = service.analyze(parameters).execute();
    assertNotNull(results);
    assertEquals(results.getLanguage(), "en");
    assertNotNull(results.getEntities());
    assertTrue(results.getEntities().size() == 1);
    for (EntitiesResult result : results.getEntities()) {
        assertNotNull(result.getDisambiguation());
        assertEquals(result.getDisambiguation().getName(), "CNN");
        assertEquals(result.getDisambiguation().getDbpediaResource(), "http://dbpedia.org/resource/CNN");
        assertNotNull(result.getDisambiguation().getSubtype());
        assertTrue(result.getDisambiguation().getSubtype().size() > 0);
    }
}

Example 3 with Features

use of com.ibm.watson.developer_cloud.natural_language_understanding.v1.model.Features in project java-sdk by watson-developer-cloud.

the class NaturalLanguageUnderstandingIT method analyzeHtmlForMetadataIsSuccessful.

/**
 * Analyze html input for metadata.
 *
 * @throws Exception the exception
 */
@Test
public void analyzeHtmlForMetadataIsSuccessful() throws Exception {
    String testHtmlFileName = "src/test/resources/natural_language_understanding/testArticle.html";
    String html = getStringFromInputStream(new FileInputStream(testHtmlFileName));
    String fileTitle = "This 5,000-year-old recipe for beer actually sounds pretty tasty";
    String fileDate = "2016-05-23T20:13:00";
    String fileAuthor = "Annalee Newitz";
    Features features = new Features.Builder().metadata(new MetadataOptions()).build();
    AnalyzeOptions parameters = new AnalyzeOptions.Builder().html(html).features(features).returnAnalyzedText(true).build();
    AnalysisResults results = service.analyze(parameters).execute();
    assertNotNull(results);
    assertEquals(results.getLanguage(), "en");
    assertNotNull(results.getMetadata());
    MetadataResult result = results.getMetadata();
    assertNotNull(result.getTitle());
    assertEquals(result.getTitle(), fileTitle);
    assertNotNull(result.getPublicationDate());
    assertEquals(result.getPublicationDate(), fileDate);
    assertNotNull(result.getAuthors());
    List<Author> authors = result.getAuthors();
    assertEquals(authors.size(), 1);
    assertEquals(authors.get(0).getName(), fileAuthor);
}

Example 4 with Features

use of com.ibm.watson.developer_cloud.natural_language_understanding.v1.model.Features in project java-sdk by watson-developer-cloud.

the class NaturalLanguageUnderstandingIT method analyzeTextIsSuccessful.

/**
 * Default test for text input.
 *
 * @throws Exception the exception
 */
@Test
public void analyzeTextIsSuccessful() throws Exception {
    ConceptsOptions concepts = new ConceptsOptions.Builder().limit(5).build();
    Features features = new Features.Builder().concepts(concepts).build();
    AnalyzeOptions parameters = new AnalyzeOptions.Builder().text(text).features(features).build();
    AnalysisResults results = service.analyze(parameters).execute();
    assertNotNull(results);
}

Example 5 with Features

use of com.ibm.watson.developer_cloud.natural_language_understanding.v1.model.Features in project java-sdk by watson-developer-cloud.

the class NaturalLanguageUnderstandingIT method analyzeTextForEntitiesIsSuccessful.

/**
 * Analyze input text for entities.
 *
 * @throws Exception the exception
 */
@Test
public void analyzeTextForEntitiesIsSuccessful() throws Exception {
    String text = "In 2009, Elliot Turner launched AlchemyAPI to process the written word, with all of its quirks " + "and nuances, and got immediate traction.";
    EntitiesOptions entities = new EntitiesOptions.Builder().limit(2).sentiment(true).build();
    Features features = new Features.Builder().entities(entities).build();
    AnalyzeOptions parameters = new AnalyzeOptions.Builder().text(text).features(features).returnAnalyzedText(true).build();
    AnalysisResults results = service.analyze(parameters).execute();
    assertNotNull(results);
    assertEquals(results.getAnalyzedText(), text);
    assertNotNull(results.getEntities());
    assertTrue(results.getEntities().size() == 2);
    for (EntitiesResult result : results.getEntities()) {
        assertNotNull(result.getCount());
        assertNotNull(result.getRelevance());
        assertNotNull(result.getText());
        assertNotNull(result.getType());
        assertNotNull(result.getSentiment());
    }
}