使用斯坦福核心 nlp 时出错

Question

我在使用 stanford nlp 时遇到问题。我在尝试使用斯坦福核心 NLP 工具时遇到了各种错误。我想知道所传递句子的情绪。但是当从 eclipse 运行代码并将所需的 jar 添加到类路径时，我无法让 nlp 工具工作，

这是我要执行的代码。

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");
    }
}

这是我设置的库

我正在使用日食火星。起初它显示 ejml 库的错误。但后来我导入了 ejml jar 文件，以便解决错误，但现在它引起了这个错误......

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)

我坚持下去。如果有人对此有任何想法，请提出建议，这将有很大帮助。我已经在 stackoverflow 上搜索了其他类似的问题，但仍未找到解决此问题的解决方案。

Answer 1

实际上问题出在使用的版本不同。一些 jar 文件（如 xom、ejml）丢失了。我通过从斯坦福核心 NLP 站点下载完整的 jar 文件来修复它，版本为 3.6.0。并且其中一个导入语句更改为

import edu.stanford.nlp.neural.rnn.RNNCoreAnnotations;

SentimentCoreAnnotations.AnnotatedTree.class 需要改为 SentimentCoreAnnotations.SentimentAnnotatedTree.class

此更改解决了我的所有错误。

Answer 2

您似乎在使用旧版本的 CoreNLP (3.3.0) 和新模型。尝试下载3.6.0代码+模型。