When I input the sentence :
"So excited to be back! We're here to reconnect with & meet new innovators at ghc16"
Then the sentiment returned is negative. Can't understand the reason why this is happening. The statement is positive but it still returns negative value.
class SentimentAnalyzer {
public TweetWithSentiment findSentiment(String line) {
if(line == null || line.isEmpty()) {
throw new IllegalArgumentException("The line must not be null or empty.");
}
Annotation annotation = processLine(line);
int mainSentiment = findMainSentiment(annotation);
if(mainSentiment < 0 || mainSentiment > 4) { //You should avoid magic numbers like 2 or 4 try to create a constant that will provide a description why 2
return null; //You should avoid null returns
}
TweetWithSentiment tweetWithSentiment = new TweetWithSentiment(line, toCss(mainSentiment));
return tweetWithSentiment;
}
private String toCss(int sentiment) {
switch (sentiment) {
case 0:
return "very negative";
case 1:
return "negative";
case 2:
return "neutral";
case 3:
return "positive";
case 4:
return "very positive";
default:
return "default";
}
}
private int findMainSentiment(Annotation annotation) {
int mainSentiment = Integer.MIN_VALUE;
int longest = Integer.MIN_VALUE;
for (CoreMap sentence : annotation.get(CoreAnnotations.SentencesAnnotation.class)) {
for (CoreLabel token : sentence.get(CoreAnnotations.TokensAnnotation.class)) {
String word = token.get(CoreAnnotations.TextAnnotation.class);
String pos = token.get(CoreAnnotations.PartOfSpeechAnnotation.class);
String ne = token.get(CoreAnnotations.NamedEntityTagAnnotation.class);
String lemma = token.get(CoreAnnotations.LemmaAnnotation.class);
System.out.println("word: " + word);
System.out.println("pos: " + pos);
System.out.println("ne: " + ne);
System.out.println("Lemmas: " + lemma);
}
int sentenceLength = String.valueOf(sentence).length();
if(sentenceLength > longest) {
Tree tree = sentence.get(SentimentCoreAnnotations.SentimentAnnotatedTree.class);
mainSentiment = RNNCoreAnnotations.getPredictedClass(tree);
longest = sentenceLength ;
}
}
return mainSentiment;
}
private Annotation processLine(String line) {
StanfordCoreNLP pipeline = createPieline();
return pipeline.process(line);
}
private StanfordCoreNLP createPieline() {
Properties props = createPipelineProperties();
StanfordCoreNLP pipeline = new StanfordCoreNLP(props);
return pipeline;
}
private Properties createPipelineProperties() {
Properties props = new Properties();
props.setProperty("annotators", "tokenize, ssplit, pos, lemma, ner, parse, sentiment");
return props;
}
}
