diff --git a/src/main/java/org/texttechnologylab/project/gruppe_05_1/nlp/NlpUtils.java b/src/main/java/org/texttechnologylab/project/gruppe_05_1/nlp/NlpUtils.java index 51ad002..e01e647 100644 --- a/src/main/java/org/texttechnologylab/project/gruppe_05_1/nlp/NlpUtils.java +++ b/src/main/java/org/texttechnologylab/project/gruppe_05_1/nlp/NlpUtils.java @@ -229,22 +229,22 @@ public class NlpUtils { } for (Token token : JCasUtil.select(jcas, Token.class)) { - System.out.println(token.getCoveredText() + '\t' + token.getPosValue()); + Logger.debug(token.getCoveredText() + '\t' + token.getPosValue()); } for (NamedEntity entity : JCasUtil.select(jcas, NamedEntity.class)) { if (entity.getValue().equals("PER")) { - System.out.println("Person: " + entity.getCoveredText()); + Logger.debug("Person: " + entity.getCoveredText()); } else if (entity.getValue().equals("LOC")) { - System.out.println("Location: " + entity.getCoveredText()); + Logger.debug("Location: " + entity.getCoveredText()); } } for (Sentence sentence : JCasUtil.select(jcas, Sentence.class)) { - System.out.println(sentence.getCoveredText()); + Logger.debug(sentence.getCoveredText()); for (Sentiment sentiment : JCasUtil.selectCovered(Sentiment.class, sentence)) { - System.out.println("Sentiment: " + sentiment.getSentiment()); + Logger.debug("Sentiment: " + sentiment.getSentiment()); } } @@ -337,7 +337,7 @@ public class NlpUtils { Bson filter = Filters.exists("analysisResults", false); List unprocessedSpeeches = mongoDBHandler.retrieveAllSpeeches(filter); if (unprocessedSpeeches.isEmpty()) { - System.out.println("No unprocessed speeches found"); + Logger.warn("No unprocessed speeches found"); } else { pComposer.resetPipeline(); @@ -353,7 +353,7 @@ public class NlpUtils { JCas jCas; jCas = rede.toCas(); pComposer.run(jCas); - //System.out.println("Anzahl Sentiment-Annotationen: " + JCasUtil.select(jCas, org.hucompute.textimager.uima.type.Sentiment.class).size()); + Logger.info("Anzahl Sentiment-Annotationen: " + JCasUtil.select(jCas, org.hucompute.textimager.uima.type.Sentiment.class).size()); Document analysisResults = extractAnnotations(jCas); Bson updateFilter = Filters.eq("speechKey", rede.getSpeechKey()); Bson update = new Document("$set", new Document("analysisResults", analysisResults)); @@ -363,7 +363,7 @@ public class NlpUtils { System.out.println("Processing of " + bulkOperations.size() + " documents finished"); System.out.println("uploading..."); mongoDBHandler.bulkWriteNlpData(bulkOperations); - System.out.println("Bulk write completed for " + bulkOperations.size() + " documents."); + Logger.debug("Bulk write completed for " + bulkOperations.size() + " documents."); mongoDBHandler.close(); } }