use*_*461 15 java android stanford-nlp sentiment-analysis
我想在我的Android项目中使用CoreNLP.但是当我创建这样的CoreNLP实例时:
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;
import edu.stanford.nlp.trees.Tree;
import edu.stanford.nlp.util.CoreMap;
public class NLP {
private StanfordCoreNLP pipeline;
Properties props;
public NLP() {
props = new Properties();
props.setProperty("annotators", "tokenize, ssplit, pos, parse, sentiment");
pipeline = new StanfordCoreNLP(props);//-->ERROR, SEE BELOW
}
public int findSentiment(String line) {
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();
}
}
}
return mainSentiment;
}
}
Run Code Online (Sandbox Code Playgroud)
该项目链接到以下.jar文件:
在我的桌面java环境下使用java 1.8.0_92,这段代码运行正常,但是当在Android上运行代码时(编译后没有错误),我在实例化NLP类时收到错误:
引起:java.lang.IllegalArgumentException:无法返回null或leaf Tree的头部.在edu.stanford.nlp.trees.AbstractCollinsHeadFinder.determineHead(AbstractCollinsHeadFinder.java:158)的edu.stanford.nlp.trees.AbstractCollinsHeadFinder.determineHead(AbstractCollinsHeadFinder.java:138)edu.stanford.nlp.pipeline.ParserAnnotator.( ParserAnnotator.java:132)位于edu.stanford的edu.stanford.nlp.pipeline.AnnotatorImplementations.parse(AnnotatorImplementations.java:132),edu.stanford.nlp.pipeline.StanfordCoreNLP $ 10.create(StanfordCoreNLP.java:719). nlp.pipeline.AnnotatorPool.get(AnnotatorPool.java:85)at edu.stanford.nlp.pipeline.StanfordCoreNLP.construct(StanfordCoreNLP.java:292)at edu.stanford.nlp.pipeline.StanfordCoreNLP.(StanfordCoreNLP.java:129 )在edu.stanford.nlp.pipeline.StanfordCoreNLP.(StanfordCoreNLP.java:125)
我正在使用CoreNLP 3.4.1.它不是最新版本,但它适用于Android上的Java 7.如何在Android上正确使用CoreNLP?
我在寻找答案.我检查了罐子.有一节课AbstractCollinsHeadFinder.java.从这个类,这个错误来了
edu.stanford.nlp.trees.AbstractCollinsHeadFinder.determineHead(AbstractCollinsHeadFinder.java:158)at edu.stanford.nlp.trees.AbstractCollinsHeadFinder.determineHead(AbstractCollinsHeadFinder.java:138)
此错误有两个根本原因.
如果树是叶子,则会发生此错误.
@Override
public Tree determineHead(Tree t, Tree parent) {
if (nonTerminalInfo == null) {
throw new IllegalStateException("Classes derived from AbstractCollinsHeadFinder must create and fill HashMap nonTerminalInfo.");
}
// The error mainly generate for the following condition
if (t == null || t.isLeaf()) {
throw new IllegalArgumentException("Can't return head of null or leaf Tree.");
}
if (DEBUG) {
log.info("determineHead for " + t.value());
}
Tree[] kids = t.children();
-------------
-------------
return theHead;
}
Run Code Online (Sandbox Code Playgroud)我还检查了你的代码.在你的setProperty(...)中,有一些参数.也许缺少一些参数.因此,您可以通过遵循代码来创建对象.
// creates a StanfordCoreNLP object, with POS tagging, lemmatization, NER, parsing, and coreference resolution
Properties props = new Properties();
props.setProperty("annotators", "tokenize, ssplit, pos, lemma, ner, parse, dcoref");
StanfordCoreNLP pipeline = new StanfordCoreNLP(props);
Run Code Online (Sandbox Code Playgroud)
import java.io.*;
import java.util.*;
import edu.stanford.nlp.io.*;
import edu.stanford.nlp.ling.*;
import edu.stanford.nlp.pipeline.*;
import edu.stanford.nlp.trees.*;
import edu.stanford.nlp.trees.TreeCoreAnnotations.*;
import edu.stanford.nlp.util.*;
public class StanfordCoreNlpExample {
public static void main(String[] args) throws IOException {
PrintWriter xmlOut = new PrintWriter("xmlOutput.xml");
Properties props = new Properties();
props.setProperty("annotators",
"tokenize, ssplit, pos, lemma, ner, parse");
StanfordCoreNLP pipeline = new StanfordCoreNLP(props);
Annotation annotation = new Annotation(
"This is a short sentence. And this is another.");
pipeline.annotate(annotation);
pipeline.xmlPrint(annotation, xmlOut);
// An Annotation is a Map and you can get and use the
// various analyses individually. For instance, this
// gets the parse tree of the 1st sentence in the text.
List<CoreMap> sentences = annotation
.get(CoreAnnotations.SentencesAnnotation.class);
if (sentences != null && sentences.size() > 0) {
CoreMap sentence = sentences.get(0);
Tree tree = sentence.get(TreeAnnotation.class);
PrintWriter out = new PrintWriter(System.out);
out.println("The first sentence parsed is:");
tree.pennPrint(out);
}
}
}
Run Code Online (Sandbox Code Playgroud)
| 归档时间: |
|
| 查看次数: |
293 次 |
| 最近记录: |