Compare commits
9 Commits
651ed7ec5f
...
627bda1471
| Author | SHA1 | Date |
|---|---|---|
linsheng0116
|
627bda1471 | 1 year ago |
|
linsheng0116
|
65f89f7d87 | 1 year ago |
 zhangxiaomeng
|
b5ae69c4c5 | 1 year ago |
|
zhangxiaomeng
|
ce7b03a240 | 1 year ago |
|
linsheng0116
|
fd5b53ebb5 | 1 year ago |
|
zhangxiaomeng
|
0b0d4cf067 | 1 year ago |
|
linsheng0116
|
6631dbeb58 | 1 year ago |
|
zhangxiaomeng
|
6e8e782169 | 1 year ago |
|
zhangxiaomeng
|
127fd54ea3 | 1 year ago |
14 changed files with 822 additions and 265 deletions
|
After Width: | Height: | Size: 10 KiB |
|
Before Width: | Height: | Size: 21 KiB |
|
After Width: | Height: | Size: 971 KiB |
@ -0,0 +1,188 @@ |
|||
package com.main.woka.Common.util; |
|||
|
|||
import edu.stanford.nlp.ling.CoreAnnotations; |
|||
import edu.stanford.nlp.ling.CoreLabel; |
|||
import edu.stanford.nlp.pipeline.Annotation; |
|||
import edu.stanford.nlp.pipeline.StanfordCoreNLP; |
|||
import edu.stanford.nlp.util.StringUtils; |
|||
import org.springframework.stereotype.Component; |
|||
|
|||
import java.util.*; |
|||
|
|||
|
|||
@Component |
|||
public class RelationUtil1 { |
|||
//标题分词
|
|||
public String analyzeRelationship(String title1, String title2) { |
|||
//载入properties 文件
|
|||
String[] args = new String[]{"-props", "CoreNLP-chinese.properties"}; |
|||
Properties properties = StringUtils.argsToProperties(args); |
|||
properties.setProperty("annotators", "tokenize, ssplit, pos"); |
|||
properties.setProperty("tokenize.language", "zh"); // 设置为中文
|
|||
|
|||
StanfordCoreNLP pipline = new StanfordCoreNLP(properties); |
|||
|
|||
// 分析第一个短语 "低温"
|
|||
String phrase1 = title1; |
|||
List<Map> ll = analyzePhrase(pipline, phrase1); |
|||
|
|||
|
|||
//循环第一个短语的分词
|
|||
String useTitle = ""; |
|||
|
|||
for(int i=0;i<ll.size();i++){ |
|||
if (ll.get(i).get("pos").equals("NN") || ll.get(i).get("pos").equals("JJ")){ |
|||
useTitle = useTitle+ll.get(i).get("text"); |
|||
}else { |
|||
break; |
|||
} |
|||
|
|||
} |
|||
|
|||
// 分析第二个短语 "低温的影响"
|
|||
String phrase2 = title2; |
|||
String result = analyzePhrase1(pipline, phrase2, useTitle); |
|||
return result; |
|||
} |
|||
|
|||
public List<Map> analyzePhrase(StanfordCoreNLP pipeline, String phrase) { |
|||
List<Map> list = new ArrayList<>(); |
|||
Annotation document = new Annotation(phrase); |
|||
pipeline.annotate(document); |
|||
|
|||
List<CoreLabel> tokens = document.get(CoreAnnotations.TokensAnnotation.class); |
|||
for (CoreLabel token : tokens) { |
|||
String word = token.get(CoreAnnotations.TextAnnotation.class); |
|||
String pos = token.get(CoreAnnotations.PartOfSpeechAnnotation.class); |
|||
System.out.println(word + ": " + pos); |
|||
Map mm = new HashMap(); |
|||
mm.put("text",word); |
|||
mm.put("pos",pos); |
|||
list.add(mm); |
|||
} |
|||
return list; |
|||
|
|||
} |
|||
|
|||
public String analyzePhrase1(StanfordCoreNLP pipeline, String phrase,String useTitle) { |
|||
Annotation document = new Annotation(phrase); |
|||
pipeline.annotate(document); |
|||
String title= ""; |
|||
String result =""; |
|||
Integer index = 0; |
|||
System.out.println(useTitle); |
|||
|
|||
List<CoreLabel> tokens = document.get(CoreAnnotations.TokensAnnotation.class); |
|||
for(int i=0;i<tokens.size();i++){ |
|||
CoreLabel token = tokens.get(i); |
|||
String word = token.get(CoreAnnotations.TextAnnotation.class); |
|||
String pos = token.get(CoreAnnotations.PartOfSpeechAnnotation.class); |
|||
title= title + word; |
|||
if(useTitle.equals(title)){ |
|||
//有相同词汇有关系
|
|||
index = i+1; |
|||
break; |
|||
} |
|||
} |
|||
|
|||
System.out.println(index); |
|||
if (index==0){ |
|||
return "属于"; |
|||
}else { |
|||
for(int j=index;j<tokens.size();j++){ |
|||
CoreLabel token1 = tokens.get(j); |
|||
String word1 = token1.get(CoreAnnotations.TextAnnotation.class); |
|||
String pos1 = token1.get(CoreAnnotations.PartOfSpeechAnnotation.class); |
|||
if(j==index){ |
|||
System.out.println(pos1); |
|||
if(word1.equals("的")){ |
|||
System.out.println("aaaaaaaaaaaaaaaa"); |
|||
}else { |
|||
if(pos1.equals("PU")){ |
|||
result = "属于"; |
|||
break; |
|||
} |
|||
if (!pos1.equals("CC") && !pos1.equals("DEG")){ |
|||
result= result + word1; |
|||
} |
|||
} |
|||
|
|||
|
|||
}else { |
|||
result= result + word1; |
|||
} |
|||
|
|||
} |
|||
if(result.equals("")){ |
|||
result = "属于"; |
|||
} |
|||
|
|||
return result; |
|||
} |
|||
|
|||
|
|||
|
|||
} |
|||
|
|||
|
|||
|
|||
//将一句话分成多个词语
|
|||
public List<String> analyzeRelationshipLong(String title1) { |
|||
List<String> list = new ArrayList<>(); |
|||
String[] args = new String[]{"-props", "CoreNLP-chinese.properties"}; |
|||
Properties properties = StringUtils.argsToProperties(args); |
|||
properties.setProperty("annotators", "tokenize, ssplit, pos"); |
|||
properties.setProperty("tokenize.language", "zh"); // 设置为中文
|
|||
|
|||
StanfordCoreNLP pipline = new StanfordCoreNLP(properties); |
|||
|
|||
// 分析第一个短语 "低温"
|
|||
String phrase1 = title1; |
|||
List<Map> ll = analyzePhrase(pipline, phrase1); |
|||
|
|||
for(int i=0;i<ll.size();i++){ |
|||
if (ll.get(i).get("pos").equals("NN")){ |
|||
list.add(String.valueOf(ll.get(i).get("text"))); |
|||
} |
|||
} |
|||
|
|||
return list; |
|||
} |
|||
|
|||
|
|||
public List<String> analyzeRelationshipLong1(String title1) { |
|||
List<String> list = new ArrayList<>(); |
|||
String[] args = new String[]{"-props", "CoreNLP-chinese.properties"}; |
|||
Properties properties = StringUtils.argsToProperties(args); |
|||
properties.setProperty("annotators", "tokenize, ssplit, pos"); |
|||
properties.setProperty("tokenize.language", "zh"); // 设置为中文
|
|||
|
|||
StanfordCoreNLP pipline = new StanfordCoreNLP(properties); |
|||
|
|||
// 分析第一个短语 "低温"
|
|||
String phrase1 = title1; |
|||
List<Map> ll = analyzePhrase(pipline, phrase1); |
|||
|
|||
for(int i=0;i<ll.size();i++){ |
|||
if (ll.get(i).get("pos").equals("NN")){ |
|||
if(String.valueOf(ll.get(i).get("text")).charAt(0)!='<' && String.valueOf(ll.get(i).get("text")).charAt(0)!='&' && String.valueOf(ll.get(i).get("text")).charAt(String.valueOf(ll.get(i).get("text")).length()-1)!='t'){ |
|||
int hh = 0; |
|||
for(int b=0;b<list.size();b++){ |
|||
if(list.get(b).equals(String.valueOf(ll.get(i).get("text")))){ |
|||
hh = 1; |
|||
break; |
|||
} |
|||
} |
|||
if (hh == 0){ |
|||
list.add(String.valueOf(ll.get(i).get("text"))); |
|||
} |
|||
|
|||
} |
|||
|
|||
} |
|||
} |
|||
|
|||
return list; |
|||
} |
|||
|
|||
} |
|||
Loading…
Reference in new issue