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私は主に Python を使用し、Java は初めてです。ただし、Java プログラムを作成し、Py4j Python パッケージを介して Python で動作させようとしています。次のプログラムは、私が例から適応したものです。コンパイルエラーが発生しました。光を当てることができますか？基本的なエラーだと確信しています。ありがとう。 

> compile error: incompatible type: SimpleMatrix cannot be converted to String: return senti_scores.
> intended input in Python: 
app = CoreNLPSentiScore()
app.findSentiment("I like this book")
intended output: matrix:    Type = dense , numRows = 5 , numCols = 1
0.016  
0.037  
0.132  
0.618  
0.196  

import java.util.List;
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.SentimentAnnotatedTree;
import edu.stanford.nlp.trees.Tree;
import edu.stanford.nlp.util.ArrayCoreMap;
import edu.stanford.nlp.util.CoreMap;
import py4j.GatewayServer;
import org.ejml.simple.SimpleMatrix;


public class CoreNLPSentiScore {
static StanfordCoreNLP pipeline;

    public static void init() {
        Properties props = new Properties();
        props.setProperty("annotators", "tokenize, ssplit, parse, sentiment");
        pipeline = new StanfordCoreNLP(props);

    }

    public static void main(String[] args) {
        CoreNLPSentiScore app = new CoreNLPSentiScore();
        // app is now the gateway.entry_point
        GatewayServer server = new GatewayServer(app);
        server.start();
    }

    //public static void main(String tweet) {
    //public static String findSentiment(String tweet) {
    public String findSentiment(String tweet) {
    //String SentiReturn = "2";
    //String[] SentiClass ={"very negative", "negative", "neutral", "positive", "very positive"};

    //Sentiment is an integer, ranging from 0 to 4. 
    //0 is very negative, 1 negative, 2 neutral, 3 positive and 4 very positive.
    //int sentiment = 2;
        SimpleMatrix senti_score = new SimpleMatrix();
        if (tweet != null && tweet.length() > 0) {
            Annotation annotation = pipeline.process(tweet);

            List<CoreMap> sentences = annotation.get(CoreAnnotations.SentencesAnnotation.class);
            if (sentences != null && sentences.size() > 0) {

                ArrayCoreMap sentence = (ArrayCoreMap) sentences.get(0);                
                //Tree tree = sentence.get(SentimentAnnotatedTree.class);  
                Tree tree = sentence.get(SentimentAnnotatedTree.class);  
                senti_score = RNNCoreAnnotations.getPredictions(tree);             

                //SentiReturn = SentiClass[sentiment];
            }
        }
        //System.out.println(senti_score);
        return senti_score;
        //System.out.println(senti_score);
    }

}
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