use of de.tudarmstadt.ukp.dkpro.core.api.lexmorph.type.pos.tweet.POS_EMO in project dkpro-tc by dkpro.
the class EmoticonRatioTest method emoticonRatioFeatureExtractorTest.
@Test
public void emoticonRatioFeatureExtractorTest() throws Exception {
AnalysisEngineDescription desc = createEngineDescription(NoOpAnnotator.class);
AnalysisEngine engine = createEngine(desc);
TokenBuilder<Token, Sentence> builder = TokenBuilder.create(Token.class, Sentence.class);
JCas jcas = engine.newJCas();
jcas.setDocumentLanguage("en");
builder.buildTokens(jcas, "This is a very emotional tweet ;-)");
POS_EMO emo = new POS_EMO(jcas);
emo.setBegin(31);
emo.setEnd(34);
emo.addToIndexes();
engine.process(jcas);
TextClassificationTarget aTarget = new TextClassificationTarget(jcas, 0, jcas.getDocumentText().length());
aTarget.addToIndexes();
EmoticonRatio extractor = new EmoticonRatio();
List<Feature> features = new ArrayList<Feature>(extractor.extract(jcas, aTarget));
Assert.assertEquals(1, features.size());
for (Feature feature : features) {
assertFeature(EmoticonRatio.class.getSimpleName(), 0.14, feature, 0.01);
}
}
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