我是standford-nlp API的新手。我正在嘗試使用斯坦福API進行感性分析,但它引發異常。請看下面的日誌。使用standford-nlp API進行感傷分析時的java.lang.NullPointerException
Adding annotator tokenize
Adding annotator ssplit
Adding annotator pos
Reading POS tagger model from edu/stanford/nlp/models/pos-tagger/english-left3words/english-left3words-distsim.tagger ... done [1.4 sec].
Adding annotator lemma
Adding annotator ner
Loading classifier from edu/stanford/nlp/models/ner/english.all.3class.distsim.crf.ser.gz ... done [5.3 sec].
Loading classifier from edu/stanford/nlp/models/ner/english.muc.7class.distsim.crf.ser.gz ... done [2.3 sec].
Loading classifier from edu/stanford/nlp/models/ner/english.conll.4class.distsim.crf.ser.gz ... done [4.7 sec].
Adding annotator parse
Loading parser from serialized file edu/stanford/nlp/models/lexparser/englishPCFG.ser.gz ... done [1.1 sec].
Adding annotator dcoref
Adding annotator sentiment
Exception in thread "main" java.lang.NoClassDefFoundError: org/ejml/simple/SimpleBase
at edu.stanford.nlp.pipeline.SentimentAnnotator.<init> (SentimentAnnotator.java:48)
at edu.stanford.nlp.pipeline.StanfordCoreNLP$14.create(StanfordCoreNLP.java:850)
at edu.stanford.nlp.pipeline.AnnotatorPool.get(AnnotatorPool.java:81)
at edu.stanford.nlp.pipeline.StanfordCoreNLP.construct(StanfordCoreNLP.java:262)
at edu.stanford.nlp.pipeline.StanfordCoreNLP.<init>(StanfordCoreNLP.java:129)
at edu.stanford.nlp.pipeline.StanfordCoreNLP.<init>(StanfordCoreNLP.java:125)
at io.stanford.NLP.findSentiment(NLP.java:30)
at io.stanford.TestStanford.main(TestStanford.java:8)
Caused by: java.lang.ClassNotFoundException: org.ejml.simple.SimpleBase
at java.net.URLClassLoader$1.run(URLClassLoader.java:202)
at java.security.AccessController.doPrivileged(Native Method)
at java.net.URLClassLoader.findClass(URLClassLoader.java:190)
at java.lang.ClassLoader.loadClass(ClassLoader.java:306)
at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:301)
at java.lang.ClassLoader.loadClass(ClassLoader.java:247)
... 8 more
謝謝Gabor。 「情緒」註釋員失蹤。我加了這個,但現在我又有一個例外。請參閱編輯的問題。謝謝你提前 –
謝謝Gabor。現在它工作正常 –