Author: rwesten
Date: Thu Jun 18 14:09:35 2015
New Revision: 1686224
URL: http://svn.apache.org/r1686224
Log:
Applied patch for STANBOL-1425 with minor changes: If no Sentiment annotation
is present the engine will NOT add a DocumentSentiment Annotation; Reverted
some reformating changes to code not affected by the patch. This closes #2
Modified:
stanbol/trunk/enhancement-engines/restful-nlp/src/main/java/org/apache/stanbol/enhancer/engines/restful/nlp/impl/RestfulNlpAnalysisEngine.java
Modified:
stanbol/trunk/enhancement-engines/restful-nlp/src/main/java/org/apache/stanbol/enhancer/engines/restful/nlp/impl/RestfulNlpAnalysisEngine.java
URL:
http://svn.apache.org/viewvc/stanbol/trunk/enhancement-engines/restful-nlp/src/main/java/org/apache/stanbol/enhancer/engines/restful/nlp/impl/RestfulNlpAnalysisEngine.java?rev=1686224&r1=1686223&r2=1686224&view=diff
==============================================================================
---
stanbol/trunk/enhancement-engines/restful-nlp/src/main/java/org/apache/stanbol/enhancer/engines/restful/nlp/impl/RestfulNlpAnalysisEngine.java
(original)
+++
stanbol/trunk/enhancement-engines/restful-nlp/src/main/java/org/apache/stanbol/enhancer/engines/restful/nlp/impl/RestfulNlpAnalysisEngine.java
Thu Jun 18 14:09:35 2015
@@ -17,6 +17,7 @@
package org.apache.stanbol.enhancer.engines.restful.nlp.impl;
import static org.apache.stanbol.enhancer.nlp.NlpAnnotations.NER_ANNOTATION;
+import static
org.apache.stanbol.enhancer.nlp.NlpAnnotations.SENTIMENT_ANNOTATION;
import static
org.apache.stanbol.enhancer.nlp.utils.NlpEngineHelper.getLanguage;
import static org.apache.stanbol.enhancer.servicesapi.rdf.Properties.DC_TYPE;
import static
org.apache.stanbol.enhancer.servicesapi.rdf.Properties.ENHANCER_CONFIDENCE;
@@ -99,6 +100,7 @@ import org.apache.stanbol.enhancer.nlp.m
import org.apache.stanbol.enhancer.nlp.model.annotation.Value;
import org.apache.stanbol.enhancer.nlp.ner.NerTag;
import org.apache.stanbol.enhancer.nlp.utils.LanguageConfiguration;
+import org.apache.stanbol.enhancer.nlp.utils.NIFHelper;
import org.apache.stanbol.enhancer.nlp.utils.NlpEngineHelper;
import org.apache.stanbol.enhancer.servicesapi.Blob;
import org.apache.stanbol.enhancer.servicesapi.ContentItem;
@@ -107,6 +109,7 @@ import org.apache.stanbol.enhancer.servi
import org.apache.stanbol.enhancer.servicesapi.ServiceProperties;
import org.apache.stanbol.enhancer.servicesapi.helper.EnhancementEngineHelper;
import org.apache.stanbol.enhancer.servicesapi.impl.AbstractEnhancementEngine;
+import org.apache.stanbol.enhancer.servicesapi.rdf.NamespaceEnum;
import org.osgi.framework.Constants;
import org.osgi.service.cm.ConfigurationException;
import org.osgi.service.component.ComponentContext;
@@ -169,6 +172,31 @@ public class RestfulNlpAnalysisEngine ex
*/
private static final int DEFAULT_SELECTION_CONTEXT_PREFIX_SUFFIX_SIZE = 50;
+
+ //TODO: move those sentiment specific constants to
o.a.s.enhancer.servicesapi as soon as
+ // Sentiment Annotations are normalized.
+ // NOTE: they are also define in the Sentiment Summarization
engine!
+ /**
+ * The property used to write the sum of all positive classified words
+ */
+ public static final UriRef POSITIVE_SENTIMENT_PROPERTY = new
UriRef(NamespaceEnum.fise+"positive-sentiment");
+ /**
+ * The property used to write the sum of all negative classified words
+ */
+ public static final UriRef NEGATIVE_SENTIMENT_PROPERTY = new
UriRef(NamespaceEnum.fise+"negative-sentiment");
+ /**
+ * The sentiment of the section (sum of positive and negative
classifications)
+ */
+ public static final UriRef SENTIMENT_PROPERTY = new
UriRef(NamespaceEnum.fise+"sentiment");
+ /**
+ * The dc:type value used for fise:TextAnnotations indicating a Sentiment
+ */
+ public static final UriRef SENTIMENT_TYPE = new
UriRef(NamespaceEnum.fise+"Sentiment");
+ /**
+ * The dc:Type value sued for the sentiment annotation of the whole
document
+ */
+ public static final UriRef DOCUMENT_SENTIMENT_TYPE = new
UriRef(NamespaceEnum.fise+"DocumentSentiment");
+
private static final Map<String,Object> SERVICE_PROPERTIES;
static {
Map<String,Object> props = new HashMap<String,Object>();
@@ -302,6 +330,14 @@ public class RestfulNlpAnalysisEngine ex
}
}
if(writeTextAnnotations){
+ //if enabled fise:TextAnnotations are created for Named
Entities and Sentiments
+
+ double positiveSent = 0.0;
+ int positiveCount = 0;
+ double negativeSent = 0.0;
+ int negativeCount = 0;
+ int sentimentCount = 0;
+
Iterator<Span> spans =
at.getEnclosed(EnumSet.of(SpanTypeEnum.Sentence,SpanTypeEnum.Chunk));
Sentence context = null;
MGraph metadata = ci.getMetadata();
@@ -314,7 +350,7 @@ public class RestfulNlpAnalysisEngine ex
switch (span.getType()) {
case Sentence:
context = (Sentence)span;
- break;
+ //FALLThrough intended!!
default:
Value<NerTag> nerAnno =
span.getAnnotation(NER_ANNOTATION);
if(nerAnno != null){
@@ -339,9 +375,67 @@ public class RestfulNlpAnalysisEngine ex
lf.createTypedLiteral(nerAnno.probability())));
}
}
+
+ Value<Double> sentimentAnnotation =
span.getAnnotation(SENTIMENT_ANNOTATION);
+ if (sentimentAnnotation != null) { //this span has
a sentiment assigned
+
+ Double sentiment = sentimentAnnotation.value();
+
+ //Create a
fise:TextAnnotation for the sentiment
+ UriRef ta =
EnhancementEngineHelper.createTextEnhancement(ci, this);
+ metadata.add(new TripleImpl(ta, ENHANCER_START,
+
lf.createTypedLiteral(span.getStart())));
+ metadata.add(new TripleImpl(ta, ENHANCER_END,
+ lf.createTypedLiteral(span.getEnd())));
+ metadata.add(new TripleImpl(ta,
SENTIMENT_PROPERTY,
+ lf.createTypedLiteral(sentiment)));
+
+ //add the generic dc:type used for all
Sentiment annotation
+ metadata.add(new TripleImpl(ta, DC_TYPE,
SENTIMENT_TYPE));
+ //determine the
specific dc:type for the sentiment annotation
+ UriRef ssoType =
NIFHelper.SPAN_TYPE_TO_SSO_TYPE.get(span.getType());
+ if(ssoType != null){
+ metadata.add(new TripleImpl(ta, DC_TYPE,
ssoType));
+ }
+
+ //keep statistics for the overall sentiment
for the Document
+ sentimentCount++ ;
+ if(sentiment > 0){
+ positiveSent += sentiment;
+ positiveCount++;
+ }else if(sentiment < 0){
+ negativeSent += sentiment;
+ negativeCount++;
+ }
+
+ }
break;
}
}
+
+
+ //Add the annotation for the overall sentiment of the document
+ if ( sentimentCount > 0 ) {
+ UriRef ta = EnhancementEngineHelper.createTextEnhancement(ci,
this);
+ //calculate the average sentiment for a document
+ //TODO: Think on a better way to calculate a general
sentiment value for a document.
+ metadata.add(new TripleImpl(ta, SENTIMENT_PROPERTY,
+ lf.createTypedLiteral((positiveSent +
negativeSent) / sentimentCount)));
+
+ if ( positiveCount > 0 ){
+ //average positive sentiment calculation for the
document
+ metadata.add(new TripleImpl(ta,
POSITIVE_SENTIMENT_PROPERTY,
+ lf.createTypedLiteral( positiveSent /
positiveCount )));
+ }
+ if ( negativeCount > 0 ){
+ //average negative sentiment calculation for the
document
+ metadata.add(new TripleImpl(ta,
NEGATIVE_SENTIMENT_PROPERTY,
+ lf.createTypedLiteral( negativeSent /
negativeCount )));
+ }
+ metadata.add(new TripleImpl(ta, DC_TYPE, SENTIMENT_TYPE));
+ metadata.add(new TripleImpl(ta, DC_TYPE,
DOCUMENT_SENTIMENT_TYPE));
+ } // no sentiment annotation present ... nothing to do
+
} finally {
ci.getLock().writeLock().unlock();
}
