Package org.apache.stanbol.enhancer.nlp.model

Examples of org.apache.stanbol.enhancer.nlp.model.Token.addAnnotation()

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        int enhancerStart = sent1.getSpan().toString().indexOf("enhancer");
        Token enhancer = sent1.addToken(enhancerStart,enhancerStart+"enhancer".length());
        expectedTokens.put(enhancer, "enhancer");
        enhancer.addAnnotation(NlpAnnotations.POS_ANNOTATION, Value.value(
            new PosTag("PN", Pos.ProperNoun),0.95));
        enhancer.addAnnotation(NlpAnnotations.POS_ANNOTATION, Value.value(
            new PosTag("N", LexicalCategory.Noun),0.87));
        MorphoFeatures morpho = new MorphoFeatures("enhance");
        morpho.addCase(new CaseTag("test-case-1",Case.Comitative));
        morpho.addCase(new CaseTag("test-case-2",Case.Abessive));
        morpho.addDefinitness(Definitness.Definite);
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        morpho.addPos(new PosTag("PN", Pos.ProperNoun));
        morpho.addGender(new GenderTag("test-gender", Gender.Masculine));
        morpho.addNumber(new NumberTag("test-number", NumberFeature.Plural));
        morpho.addTense(new TenseTag("test-tense", Tense.Present));
        morpho.addVerbForm(new VerbMoodTag("test-verb-mood", VerbMood.ConditionalVerb));
        enhancer.addAnnotation(NlpAnnotations.MORPHO_ANNOTATION, Value.value(morpho));

        //create a chunk
        Chunk stanbolEnhancer = analysedTextWithData.addChunk(stanbol.getStart(), enhancer.getEnd());
        expectedChunks.put(stanbolEnhancer, "Stanbol enhancer");
        stanbolEnhancer.addAnnotation(NlpAnnotations.NER_ANNOTATION, Value.value(
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        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));
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        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));
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        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
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                }
            } //else process all tokens ... no POS tag checking needed
            if(process){
                double sentiment = classifier.classifyWord(token.getSpan());
                if(sentiment != 0.0){
                    token.addAnnotation(SENTIMENT_ANNOTATION, new Value<Double>(sentiment));
                } //else do not set sentiments with 0.0
            }
        }
//        } finally {
//            ci.getLock().writeLock().unlock();
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                        }
                    }
                    //add the morpho features with the posProbabiliy
                    Value<MorphoFeatures> value = Value.value(mf,
                        posProbability < 0 ? Value.UNKNOWN_PROBABILITY : posProbability);
                    token.addAnnotation(NlpAnnotations.MORPHO_ANNOTATION, value);
                }
            }
        }
    }
   
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        for(SentimentExpression se : seList){
            //Add the Sentiment Expression as Token to the Text. NOTE that if a Token with the same start/end positions already exist this
            //Method returns the existing instance
            Token token = at.addToken(se.getStartSnippet(),se.getEndSnippet());
            token.addAnnotation(NlpAnnotations.SENTIMENT_ANNOTATION, new Value<Double>(se.getSentimentPolarityAsDoubleValue()) );
        }
    }
   
    @Override
    @Deactivate
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