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我想使用斯坦福NLP得到一個文本的感悟: 這裏是我的代碼:情感分析不起作用
import java.util.Properties;
import edu.stanford.nlp.ling.CoreAnnotations;
import edu.stanford.nlp.pipeline.Annotation;
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;
public class SentimentAnalyzer {
public static void main(String[] args) {
findSentiment("");
}
public static void findSentiment(String line) {
line = "I started taking the little pill about 6 years ago.";
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)) {
Tree tree = sentence
.get(SentimentCoreAnnotations.AnnotatedTree.class);
int sentiment = RNNCoreAnnotations.getPredictedClass(tree);
String partText = sentence.toString();
if (partText.length() > longest) {
mainSentiment = sentiment;
longest = partText.length();
}
}
}
if (mainSentiment == 2 || mainSentiment > 4 || mainSentiment < 0) {
System.out.println("Neutral " + line);
}
else{
}
/*
* TweetWithSentiment tweetWithSentiment = new TweetWithSentiment(line,
* toCss(mainSentiment)); return tweetWithSentiment;
*/
}
}
而且我使用這個鏈接指令: https://blog.openshift.com/day-20-stanford-corenlp-performing-sentiment-analysis-of-twitter-using-java/
,但我得到了以下錯誤:
Exception in thread "main" java.lang.NullPointerException
at edu.stanford.nlp.rnn.RNNCoreAnnotations.getPredictedClass(RNNCoreAnnotations.java:58)
at SentimentAnalyzer.findSentiment(SentimentAnalyzer.java:27)
at SentimentAnalyzer.main(SentimentAnalyzer.java:14)
這點這一行:
Tree tree = sentence.get(SentimentCoreAnnotations.AnnotatedTree.class);
有沒有人有任何想法?
非常感謝,現在的工作怎麼可以看看這個句子是否中立或正面或負面? –
用代碼片段更新了評論,以顯示句子是神經,正面還是負面。 –
U是真棒夥計:) –