java實現比較兩個文字相似度 simHash 實現
java實現兩個文字相似度 simHash 實現
package com.timefinance.admin.common.util;
import com.hankcs.hanlp.HanLP;
import org.jsoup.Jsoup;
import java.util.ArrayList;
import java.util.Collections;
import java.util.List;
import java.util.stream.Collectors;
public class SimilarityUtil {
public static double getSimilarity(String sentence1, String sentence2) {
List<String> sent1Words = getSplitWords(sentence1);
List<String> sent2Words = getSplitWords(sentence2);
System.out.println(sent1Words);
System.out.println(sent2Words);
List<String> allWords = mergeList(sent1Words, sent2Words);
int[] statistic1 = statistic(allWords, sent1Words);
int[] statistic2 = statistic(allWords, sent2Words);
double dividend = 0;
double divisor1 = 0;
double divisor2 = 0;
for (int i = 0; i < statistic1.length; i++) {
dividend += statistic1[i] * statistic2[i];
divisor1 += Math.pow(statistic1[i], 2);
divisor2 += Math.pow(statistic2[i], 2);
}
return dividend / (Math.sqrt(divisor1) * Math.sqrt(divisor2));
}
private static int[] statistic(List<String> allWords, List<String> sentWords) {
int[] result = new int[allWords.size()];
for (int i = 0; i < allWords.size(); i++) {
result[i] = Collections.frequency(sentWords, allWords.get(i));
}
return result;
}
private static List<String> mergeList(List<String> list1, List<String> list2) {
List<String> result = new ArrayList<>();
result.addAll(list1);
result.addAll(list2);
return result.stream().distinct().collect(Collectors.toList());
}
private static List<String> getSplitWords(String sentence) {
sentence = Jsoup.parse(sentence.replace(" ","")).body().text();
return HanLP.segment(sentence).stream().map(a -> a.word).filter(s -> !"`~!@#$^&*()=|{}':;',\\[\\].<>/?~!@#¥……&*()——|{}【】‘;:”“'。,、? ".contains(s)).collect(Collectors.toList());
}
}