Examples with PlainLiteralImpl org.apache.clerezza.commons.rdf.impl.utils.PlainLiteralImpl used on opensource projects

Example 11 with PlainLiteralImpl

use of org.apache.clerezza.commons.rdf.impl.utils.PlainLiteralImpl in project stanbol by apache.

the class CeliAnalyzedTextSentimentAnalysisEngineTest method testEngine.

@Test
public void testEngine() throws IOException, EngineException {
    ContentItem ci = ciFactory.createContentItem(new StringSource(text));
    Assert.assertNotNull(ci);
    AnalysedText at = atFactory.createAnalysedText(ci, ci.getBlob());
    Assert.assertNotNull(at);
    ci.getMetadata().add(new TripleImpl(ci.getUri(), DC_LANGUAGE, new PlainLiteralImpl("it")));
    Assert.assertEquals("it", EnhancementEngineHelper.getLanguage(ci));
    Assert.assertEquals("Can not enhance Test ContentItem", EnhancementEngine.ENHANCE_ASYNC, engine.canEnhance(ci));
    //compute the enhancements
    try {
        engine.computeEnhancements(ci);
    } catch (EngineException e) {
        RemoteServiceHelper.checkServiceUnavailable(e);
        //deactivate test
        return;
    }
    //now validate the enhancements
    int sentimentExpressionCnt = 0;
    for (Iterator<Token> tokens = at.getTokens(); tokens.hasNext(); ) {
        Token token = tokens.next();
        log.info("Token: {}", token);
        List<Value<Double>> sentimentExpressionsList = token.getAnnotations(NlpAnnotations.SENTIMENT_ANNOTATION);
        if (sentimentExpressionsList != null && sentimentExpressionsList.size() > 0)
            sentimentExpressionCnt++;
    }
    Assert.assertTrue("2 sentiment expressions should be recognized in: " + text, sentimentExpressionCnt == 2);
}

Example 12 with PlainLiteralImpl

use of org.apache.clerezza.commons.rdf.impl.utils.PlainLiteralImpl in project stanbol by apache.

the class CeliSentimentAnalysisEngineTest method testInput.

private void testInput(String txt, String lang) throws EngineException, IOException {
    ContentItem ci = wrapAsContentItem(txt);
    try {
        // add a simple triple to statically define the language of the test content
        ci.getMetadata().add(new TripleImpl(ci.getUri(), DC_LANGUAGE, new PlainLiteralImpl(lang)));
        sentimentAnalysisEngine.computeEnhancements(ci);
        TestUtils.logEnhancements(ci);
        HashMap<IRI, RDFTerm> expectedValues = new HashMap<IRI, RDFTerm>();
        expectedValues.put(Properties.ENHANCER_EXTRACTED_FROM, ci.getUri());
        expectedValues.put(Properties.DC_CREATOR, LiteralFactory.getInstance().createTypedLiteral(sentimentAnalysisEngine.getClass().getName()));
        expectedValues.put(DC_TYPE, CeliConstants.SENTIMENT_EXPRESSION);
        int textAnnoNum = validateAllTextAnnotations(ci.getMetadata(), txt, expectedValues);
        log.info(textAnnoNum + " TextAnnotations found ...");
        assertTrue("2 sentiment expressions should be recognized in: " + txt, textAnnoNum == 2);
        int entityAnnoNum = EnhancementStructureHelper.validateAllEntityAnnotations(ci.getMetadata(), expectedValues);
        assertTrue("0 entity annotations should be recognized in: " + txt, entityAnnoNum == 0);
    } catch (EngineException e) {
        RemoteServiceHelper.checkServiceUnavailable(e);
    }
}

Example 13 with PlainLiteralImpl

use of org.apache.clerezza.commons.rdf.impl.utils.PlainLiteralImpl in project stanbol by apache.

the class CeliSentimentAnalysisEngine method computeEnhancements.

@Override
public void computeEnhancements(ContentItem ci) throws EngineException {
    Entry<IRI, Blob> contentPart = ContentItemHelper.getBlob(ci, SUPPORTED_MIMTYPES);
    if (contentPart == null) {
        throw new IllegalStateException("No ContentPart with Mimetype '" + TEXT_PLAIN_MIMETYPE + "' found for ContentItem " + ci.getUri() + ": This is also checked in the canEnhance method! -> This " + "indicated an Bug in the implementation of the " + "EnhancementJobManager!");
    }
    String text = "";
    try {
        text = ContentItemHelper.getText(contentPart.getValue());
    } catch (IOException e) {
        throw new InvalidContentException(this, ci, e);
    }
    if (text.trim().length() == 0) {
        log.info("No text contained in ContentPart {" + contentPart.getKey() + "} of ContentItem {" + ci.getUri() + "}");
        return;
    }
    String language = EnhancementEngineHelper.getLanguage(ci);
    if (language == null) {
        throw new IllegalStateException("Unable to extract Language for " + "ContentItem " + ci.getUri() + ": This is also checked in the canEnhance " + "method! -> This indicated an Bug in the implementation of the " + "EnhancementJobManager!");
    }
    //used for the palin literals in TextAnnotations
    Language lang = new Language(language);
    try {
        List<SentimentExpression> lista = this.client.extractSentimentExpressions(text, language);
        LiteralFactory literalFactory = LiteralFactory.getInstance();
        Graph g = ci.getMetadata();
        for (SentimentExpression se : lista) {
            try {
                IRI textAnnotation = EnhancementEngineHelper.createTextEnhancement(ci, this);
                //add selected text as PlainLiteral in the language extracted from the text
                g.add(new TripleImpl(textAnnotation, ENHANCER_SELECTED_TEXT, new PlainLiteralImpl(se.getSnippetStr(), lang)));
                g.add(new TripleImpl(textAnnotation, DC_TYPE, CeliConstants.SENTIMENT_EXPRESSION));
                if (se.getStartSnippet() != null && se.getEndSnippet() != null) {
                    g.add(new TripleImpl(textAnnotation, ENHANCER_START, literalFactory.createTypedLiteral(se.getStartSnippet().intValue())));
                    g.add(new TripleImpl(textAnnotation, ENHANCER_END, literalFactory.createTypedLiteral(se.getEndSnippet().intValue())));
                    g.add(new TripleImpl(textAnnotation, ENHANCER_SELECTION_CONTEXT, new PlainLiteralImpl(getSelectionContext(text, se.getSnippetStr(), se.getStartSnippet()), lang)));
                    g.add(new TripleImpl(textAnnotation, CeliConstants.HAS_SENTIMENT_EXPRESSION_POLARITY, literalFactory.createTypedLiteral(se.getSentimentPolarityAsDoubleValue())));
                }
            } catch (NoConvertorException e) {
                log.error(e.getMessage(), e);
            }
        }
    } catch (IOException e) {
        throw new EngineException("Error while calling the CELI Sentiment Analysis service (configured URL: " + serviceURL + ")!", e);
    } catch (SOAPException e) {
        throw new EngineException("Error wile encoding/decoding the request/response to the CELI Sentiment Analysis service!", e);
    }
}

Example 14 with PlainLiteralImpl

use of org.apache.clerezza.commons.rdf.impl.utils.PlainLiteralImpl in project stanbol by apache.

the class CeliClassificationEnhancementEngineTest method tesetEngine.

@Test
public void tesetEngine() throws Exception {
    ContentItem ci = wrapAsContentItem(TEXT);
    try {
        //add a simple triple to statically define the language of the test
        //content
        ci.getMetadata().add(new TripleImpl(ci.getUri(), DC_LANGUAGE, new PlainLiteralImpl("fr")));
        //unit test should not depend on each other (if possible)
        //CeliLanguageIdentifierEnhancementEngineTest.addEnanchements(ci);
        classificationEngine.computeEnhancements(ci);
        TestUtils.logEnhancements(ci);
        HashMap<IRI, RDFTerm> expectedValues = new HashMap<IRI, RDFTerm>();
        expectedValues.put(Properties.ENHANCER_EXTRACTED_FROM, ci.getUri());
        expectedValues.put(Properties.DC_CREATOR, LiteralFactory.getInstance().createTypedLiteral(classificationEngine.getClass().getName()));
        int textAnnoNum = EnhancementStructureHelper.validateAllTextAnnotations(ci.getMetadata(), TEXT, expectedValues);
        assertEquals("Only a single fise:TextAnnotation is expeted", 1, textAnnoNum);
        int numTopicAnnotations = validateAllTopicAnnotations(ci.getMetadata(), expectedValues);
        assertTrue("No TpocisAnnotations found", numTopicAnnotations > 0);
    } catch (EngineException e) {
        RemoteServiceHelper.checkServiceUnavailable(e);
        return;
    }
}

Example 15 with PlainLiteralImpl

use of org.apache.clerezza.commons.rdf.impl.utils.PlainLiteralImpl in project stanbol by apache.

the class CeliAnalyzedTextLemmatizerEngineTest method testEngineDe.

@Test
public void testEngineDe() throws IOException, EngineException {
    ContentItem ci = ciFactory.createContentItem(new StringSource(de_text));
    Assert.assertNotNull(ci);
    AnalysedText at = atFactory.createAnalysedText(ci, ci.getBlob());
    Assert.assertNotNull(at);
    ci.getMetadata().add(new TripleImpl(ci.getUri(), DC_LANGUAGE, new PlainLiteralImpl("de")));
    Assert.assertEquals("de", EnhancementEngineHelper.getLanguage(ci));
    //Add some Tokens with POS annotations to test the usage of
    //existing POS annotations by the lemmatizer
    Token verbrachten = at.addToken(de_verbStart, de_verbStart + de_verb.length());
    verbrachten.addAnnotation(POS_ANNOTATION, Value.value(new PosTag("V", LexicalCategory.Verb), de_verbProb));
    Token schonen = at.addToken(de_adjectiveStart, de_adjectiveStart + de_adjective.length());
    schonen.addAnnotation(POS_ANNOTATION, Value.value(new PosTag("ADJ", LexicalCategory.Adjective), de_adjectiveProb));
    Token urlaub = at.addToken(de_nounStart, de_nounStart + de_noun.length());
    urlaub.addAnnotation(POS_ANNOTATION, Value.value(new PosTag("NC", LexicalCategory.Noun), de_nounProb));
    Assert.assertEquals("Can not enhance Test ContentItem", EnhancementEngine.ENHANCE_ASYNC, engine.canEnhance(ci));
    //compute the enhancements
    try {
        engine.computeEnhancements(ci);
    } catch (EngineException e) {
        RemoteServiceHelper.checkServiceUnavailable(e);
        //deactivate test
        return;
    }
    //now validate the enhancements
    boolean foundVerb = false;
    boolean foundAdjective = false;
    boolean foundNoun = false;
    for (Iterator<Token> tokens = at.getTokens(); tokens.hasNext(); ) {
        Token token = tokens.next();
        log.info("Token: {}", token);
        List<Value<MorphoFeatures>> mfs = token.getAnnotations(NlpAnnotations.MORPHO_ANNOTATION);
        if (de_verb.equals(token.getSpan())) {
            foundVerb = !mfs.isEmpty();
            validateMorphFeatureProbability(mfs, LexicalCategory.Verb, de_verbProb);
        } else if (de_adjective.equals(token.getSpan())) {
            foundAdjective = !mfs.isEmpty();
            validateMorphFeatureProbability(mfs, LexicalCategory.Adjective, de_adjectiveProb);
        } else if (de_noun.equals(token.getSpan())) {
            foundNoun = !mfs.isEmpty();
            validateMorphFeatureProbability(mfs, LexicalCategory.Noun, de_nounProb);
        }
        for (Value<MorphoFeatures> mf : mfs) {
            log.info("  - {}", mf);
            Assert.assertNotNull(mf.value().getLemma());
        }
    }
    Assert.assertTrue("No MorphoFeatures found for '" + de_verb + "'!", foundVerb);
    Assert.assertTrue("No MorphoFeatures found for '" + de_adjective + "'!", foundAdjective);
    Assert.assertTrue("No MorphoFeatures found for '" + de_noun + "'!", foundNoun);
}