Using maven: <dependency> <groupId>info.debatty</groupId> <artifactId>java-string-similarity</artifactId> <version>RELEASE</version> </dependency> Or check thereleases. This library requires Java 8 or more recen
Using maven: <dependency> <groupId>info.debatty</groupId> <artifactId>java-string-similarity</artifactId> <version>RELEASE</version> </dependency> Or check thereleases. This library requires Java 8 or more recent. Overview The main characteristics of each implemented algorithm are presented below...
开源地址:https:///tdebatty/java-string-similarity 案例: Levenshtein levenshtein = new Levenshtein(); System.out.println(levenshtein.distance("My string", "My $tring")); System.out.println(levenshtein.distance("My string", "My $tring")); System.out.println(levenshtein.distance("My string",...
我们将使用Apache Commons Text中的StringSimilarity类来检查拼写错误,并返回修正建议。为了简单起见,这里我们将实现一个简单的拼写检查: importorg.apache.commons.text.similarity.LevenshteinDistance;publicclassTextCorrection{// 词典数组(示例)privatestaticfinalString[]DICTIONARY={"hello","world","java","developer"...
(norm1 * norm2); } /** * 计算两个句子的相似度 * @param sentence1 第一个句子 * @param sentence2 第二个句子 * @param model 词向量模型 * @return 句子相似度值 */ private static double sentenceSimilarity(String sentence1, String sentence2, Word2Vec model) { List<INDArray> vectors1 =...
Algorithm-java-string-similarity.zip Algorithm-java-string-similarity.zip,各种字符串相似度和距离算法的实现:levenshtein、jaro winkler、n-gram、q-gram、jaccard索引、最长公共子序列编辑距离、余弦相似度……,算法是为计算机程序高效、彻底地完成任务而创建的一组详细的准则。
1.首先,在Java代码中导入CosineSimilarity库的相关类: ```java import info.debatty.java.stringsimilarity.Cosine; ``` 2.然后,我们可以创建CosineSimilarity对象并调用`similarity()`方法来计算两个文本之间的余弦相似度,示例代码如下: ```java Cosine cosine = new Cosine(); String text1 = "Java is a pro...
(sentenceSimilarity(input1,input2,word2VecModel));}/*** 根据文本内容获取对应的词向量列表* @param text 文本内容* @param model 词向量模型* @return 词向量列表*/privatestaticList<INDArray>getWordVectors(Stringtext,Word2Vecmodel){// 将文本分词List<String>words=segmentWords(text.toLowerCase(Locale....
taste.similarity.ItemSimilarity;import org.apache.mahout.cf.taste.impl.similarity.PearsonCorrelationSimilarity;import java.io.File;import java.util.List;public class TrainRecommendationSystem { public static void main(String[]args) throws Exception { // Load the data String fileName = "/path...
import org.apache.commons.text.similarity.FuzzyScore; public class RegexpExtract { public static String regexpExtract(String input, String regex, int startIndex, int endIndex) { if (input == null || regex == null || startIndex < 0 || endIndex > input.length() || startIndex >= end...