Stanford CoreNLP sentiment

dependencies, java, nlp, stanford-nlp

Solution

public class SentimentAnalysis {

    public static void main(String[] args) throws IOException {
        String text = "I am very happy";
        Properties props = new Properties();
        props.setProperty("annotators",
                "tokenize, ssplit, pos, lemma, parse, sentiment");
        StanfordCoreNLP pipeline = new StanfordCoreNLP(props);

        Annotation annotation = pipeline.process(text);
        List<CoreMap> sentences = annotation
                .get(CoreAnnotations.SentencesAnnotation.class);
        for (CoreMap sentence : sentences) {
            String sentiment = sentence
                    .get(SentimentCoreAnnotations.ClassName.class);
            System.out.println(sentiment + "\t" + sentence);
        }
    }
}

Hope it will help..:)

Problem

I'm trying to implement the coreNLP sentiment analyzer in eclipse. Getting the error: ``` Unable to resolve "edu/stanford/nlp/models/lexparser/englishPCFG.ser.gz" ``` As either class path, filename or URL. I installed all of the NLP files using maven so I am not sure why it is looking for something else. Here is the code I am getting the error on. ``` import java.util.Properties; import edu.stanford.nlp.ling.CoreAnnotations; import edu.stanford.nlp.neural.rnn.RNNCoreAnnotations; import edu.stanford.nlp.pipeline.Annotation; import edu.stanford.nlp.pipeline.StanfordCoreNLP; import edu.stanford.nlp.sentiment.SentimentCoreAnnotations; import edu.stanford.nlp.trees.Tree; import edu.stanford.nlp.util.CoreMap; public class StanfordSentiment { StanfordCoreNLP pipeline; public StanfordSentiment(){ Properties props = new Properties(); props.setProperty("annotators", "tokenize, ssplit, parse, sentiment"); pipeline = new StanfordCoreNLP(props); } public float calculateSentiment (String text) { float mainSentiment = 0; int longest = 0; Annotation annotation = pipeline.process(text); for (CoreMap sentence : annotation.get(CoreAnnotations.SentencesAnnotation.class)) { Tree tree = sentence.get(SentimentCoreAnnotations.AnnotatedTree.class); int sentiment = RNNCoreAnnotations.getPredictedClass(tree) - 2; String partText = sentence.toString(); if (partText.length() > longest) { mainSentiment = sentiment; longest = partText.length(); } } return mainSentiment; } } ```

Original source