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stanford nlp'yi kullanırken sorun yaşıyorum. Ben Stanford Çekirdek NLP araçları kullanmaya çalışırken çeşitli hatalar alıyorum sorunları yaşıyorum.Verilen cümlenin duyguları bilmek istiyorum. Ancak, sınıf yoluna eklenen gerekli kavanozlar ile tutulmadan kod çalıştırıldığında çalışmak için nlp araçlarını alamadım,stanford nlp kullanırken hata oluştu
Bu, yürütmek istediğim kod.
import java.util.Properties;
import edu.stanford.nlp.ling.CoreAnnotations;
import edu.stanford.nlp.ling.CoreLabel;
import edu.stanford.nlp.ling.CoreAnnotations.TokensAnnotation;
import edu.stanford.nlp.pipeline.Annotation;
import edu.stanford.nlp.pipeline.SentimentAnnotator;
import edu.stanford.nlp.pipeline.StanfordCoreNLP;
import edu.stanford.nlp.rnn.RNNCoreAnnotations;
import edu.stanford.nlp.sentiment.SentimentCoreAnnotations;
import edu.stanford.nlp.trees.Tree;
import edu.stanford.nlp.util.CoreMap;
import edu.stanford.nlp.util.TypesafeMap.Key;
public class sentiment_demo {
public static void sentiment_analysis(String line)
{
//Uses Stanford NLP sentimnet analysis
//found in latest model released from stanford
// ver 3.3.1
//applies sentiment analysis to text
Properties props = new Properties();
props.setProperty("annotators", "tokenize, ssplit, parse, sentiment");
StanfordCoreNLP pipeline = new StanfordCoreNLP(props);
int mainSentiment = 0;
if (line != null && line.length() > 0) {
int longest = 0;
Annotation annotation = pipeline.process(line);
for (CoreMap sentence : annotation.get(CoreAnnotations.SentencesAnnotation.class)) {
System.out.println(sentence);
for (Tree token: sentence.get(SentimentCoreAnnotations.AnnotatedTree.class))
{
//System.out.println(token);
}
Tree tree = sentence.get(SentimentCoreAnnotations.AnnotatedTree.class);
int sentiment = RNNCoreAnnotations.getPredictedClass(tree);
System.out.println(sentiment);
String partText = sentence.toString();
//System.out.println(partText);
if (partText.length() > longest) {
mainSentiment = sentiment;
longest = partText.length();
}
}
}
if(mainSentiment==2)
{
System.out.println("Average");
}
else if(mainSentiment>2)
{
System.out.println("Positive");
}
else if(mainSentiment<2)
{
System.out.println("Negative ");
}
if (mainSentiment == 2 || mainSentiment > 4 || mainSentiment < 0) {
//return null;
}
}
public static void main(String[] args)
{
sentiment_analysis("Cristiano Ronaldo, is a Portuguese professional footballer who plays for Spanish club Real Madrid and the Portugal national team. He is a forward and serves as captain for Portugal.Often ranked as the best player in the world and rated by some in the sport as the greatest of all time");
}
}
İşte Tutulma mars kullanıyorum ben 
belirledik kütüphaneler bulunmaktadır. İlk başta o zaman library.but ejml için hatayı gösteren olduğu hata çözüldü yüzden ejml kavanoz dosyası ithal ama artık bu hatalara sebebiyet ... it.If birisine takılıp
Adding annotator tokenize
Adding annotator ssplit
Adding annotator parse
Loading parser from serialized file edu/stanford/nlp/models/lexparser/englishPCFG.ser.gz ... done [1.6 sec].
Adding annotator sentiment
Exception in thread "main" edu.stanford.nlp.io.RuntimeIOException: java.lang.ClassNotFoundException: edu.stanford.nlp.neural.SimpleTensor
at edu.stanford.nlp.sentiment.SentimentModel.loadSerialized(SentimentModel.java:470)
at edu.stanford.nlp.pipeline.SentimentAnnotator.<init>(SentimentAnnotator.java:45)
at edu.stanford.nlp.pipeline.StanfordCoreNLP$14.create(StanfordCoreNLP.java:845)
at edu.stanford.nlp.pipeline.AnnotatorPool.get(AnnotatorPool.java:81)
at edu.stanford.nlp.pipeline.StanfordCoreNLP.construct(StanfordCoreNLP.java:260)
at edu.stanford.nlp.pipeline.StanfordCoreNLP.<init>(StanfordCoreNLP.java:127)
at edu.stanford.nlp.pipeline.StanfordCoreNLP.<init>(StanfordCoreNLP.java:123)
at sentiment_demo.sentiment_analysis(sentiment_demo.java:28)
at sentiment_demo.main(sentiment_demo.java:70)
Caused by: java.lang.ClassNotFoundException: edu.stanford.nlp.neural.SimpleTensor
at java.net.URLClassLoader.findClass(Unknown Source)
at java.lang.ClassLoader.loadClass(Unknown Source)
at sun.misc.Launcher$AppClassLoader.loadClass(Unknown Source)
at java.lang.ClassLoader.loadClass(Unknown Source)
at java.lang.Class.forName0(Native Method)
at java.lang.Class.forName(Unknown Source)
at java.io.ObjectInputStream.resolveClass(Unknown Source)
at java.io.ObjectInputStream.readNonProxyDesc(Unknown Source)
at java.io.ObjectInputStream.readClassDesc(Unknown Source)
at java.io.ObjectInputStream.readOrdinaryObject(Unknown Source)
at java.io.ObjectInputStream.readObject0(Unknown Source)
at java.io.ObjectInputStream.readObject(Unknown Source)
at java.util.TreeMap.buildFromSorted(Unknown Source)
at java.util.TreeMap.buildFromSorted(Unknown Source)
at java.util.TreeMap.readObject(Unknown Source)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(Unknown Source)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(Unknown Source)
at java.lang.reflect.Method.invoke(Unknown Source)
at java.io.ObjectStreamClass.invokeReadObject(Unknown Source)
at java.io.ObjectInputStream.readSerialData(Unknown Source)
at java.io.ObjectInputStream.readOrdinaryObject(Unknown Source)
at java.io.ObjectInputStream.readObject0(Unknown Source)
at java.io.ObjectInputStream.readObject(Unknown Source)
at java.util.TreeMap.buildFromSorted(Unknown Source)
at java.util.TreeMap.buildFromSorted(Unknown Source)
at java.util.TreeMap.readObject(Unknown Source)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(Unknown Source)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(Unknown Source)
at java.lang.reflect.Method.invoke(Unknown Source)
at java.io.ObjectStreamClass.invokeReadObject(Unknown Source)
at java.io.ObjectInputStream.readSerialData(Unknown Source)
at java.io.ObjectInputStream.readOrdinaryObject(Unknown Source)
at java.io.ObjectInputStream.readObject0(Unknown Source)
at java.io.ObjectInputStream.defaultReadFields(Unknown Source)
at java.io.ObjectInputStream.readSerialData(Unknown Source)
at java.io.ObjectInputStream.readOrdinaryObject(Unknown Source)
at java.io.ObjectInputStream.readObject0(Unknown Source)
at java.io.ObjectInputStream.defaultReadFields(Unknown Source)
at java.io.ObjectInputStream.readSerialData(Unknown Source)
at java.io.ObjectInputStream.readOrdinaryObject(Unknown Source)
at java.io.ObjectInputStream.readObject0(Unknown Source)
at java.io.ObjectInputStream.readObject(Unknown Source)
at edu.stanford.nlp.io.IOUtils.readObjectFromURLOrClasspathOrFileSystem(IOUtils.java:298)
at edu.stanford.nlp.sentiment.SentimentModel.loadSerialized(SentimentModel.java:466)
im bir fikrin var verdi bu sonra lütfen önermek, büyük bir yardım olacak. Ben stackoverflow diğer benzer soruları aradım ama hala bu çözmek için çözüm elde değil.