上传备份

.gitignore

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+target/
+pom.xml.tag
+pom.xml.releaseBackup
+pom.xml.versionsBackup
+pom.xml.next
+release.properties
+/.idea
+*.iml
+/.settings
+/bin
+/gen
+/build
+/gradle
+/classes
+.classpath
+.project
+*.gradle
+gradlew
+local.properties
+node_modules/
+data/

README.md

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+## 自然语言学习

pom.xml

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+<?xml version="1.0" encoding="UTF-8"?>
+<project xmlns="http://maven.apache.org/POM/4.0.0"
+         xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
+         xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd">
+    <modelVersion>4.0.0</modelVersion>
+    <groupId>xyz.wbsite</groupId>
+    <artifactId>starter-nlp</artifactId>
+    <version>0.0.1-SNAPSHOT</version>
+    <packaging>jar</packaging>
+
+    <properties>
+        <java.version>17</java.version>
+        <!-- 需要jdk17以上 -->
+         <langchain4j.version>1.0.0-beta2</langchain4j.version>
+    </properties>
+
+    <repositories>
+        <!-- 将中央仓库地址指向阿里云聚合仓库,提高下载速度 -->
+        <repository>
+            <id>central</id>
+            <name>Central Repository</name>
+            <layout>default</layout>
+            <url>https://maven.aliyun.com/repository/public</url>
+        </repository>
+    </repositories>
+    <pluginRepositories>
+        <!-- 将插件的仓库指向阿里云聚合仓库，解决低版本maven下载插件异常或提高下载速度 -->
+        <pluginRepository>
+            <id>central</id>
+            <name>Central Repository</name>
+            <url>https://maven.aliyun.com/repository/public</url>
+            <layout>default</layout>
+        </pluginRepository>
+    </pluginRepositories>
+    <build>
+        <plugins>
+            <plugin>
+                <groupId>org.apache.maven.plugins</groupId>
+                <artifactId>maven-compiler-plugin</artifactId>
+                <configuration>
+                    <source>17</source>
+                    <target>17</target>
+                </configuration>
+            </plugin>
+        </plugins>
+    </build>
+
+    <dependencies>
+        <!-- 糊涂工具，包含常用API，避免重复造轮子 -->
+        <dependency>
+            <groupId>cn.hutool</groupId>
+            <artifactId>hutool-all</artifactId>
+            <version>5.8.24</version>
+        </dependency>
+
+        <!-- 然语言处理工具包 -->
+        <dependency>
+            <groupId>com.hankcs</groupId>
+            <artifactId>hanlp</artifactId>
+            <version>portable-1.8.4</version>
+        </dependency>
+
+        <!-- 日志框架 -->
+        <dependency>
+            <groupId>ch.qos.logback</groupId>
+            <artifactId>logback-classic</artifactId>
+            <version>1.2.11</version>
+        </dependency>
+        <dependency>
+            <groupId>org.slf4j</groupId>
+            <artifactId>slf4j-api</artifactId>
+            <version>1.7.32</version>
+        </dependency>
+    </dependencies>
+    <dependencyManagement>
+        <dependencies>
+            <dependency>
+                <groupId>dev.langchain4j</groupId>
+                <artifactId>langchain4j</artifactId>
+                <version>${langchain4j.version}</version>
+            </dependency>
+        </dependencies>
+    </dependencyManagement>
+</project>

src/main/java/xyz/wbsite/ai/HanLP_Example.java

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+package xyz.wbsite.ai;
+
+import com.hankcs.hanlp.HanLP;
+import com.hankcs.hanlp.corpus.tag.Nature;
+import com.hankcs.hanlp.seg.common.Term;
+import com.hankcs.hanlp.tokenizer.StandardTokenizer;
+
+import java.util.List;
+
+public class HanLP_Example {
+    public static void main(String[] args) {
+
+//        HanLPTokenizer hanLPTokenizer = new HanLPTokenizer();
+//        String[] segment = hanLPTokenizer.segment("我喜欢吃苹果");
+//
+//        List<String> 我喜欢吃苹果1 = HanLP.extractKeyword("我喜欢吃苹果", 2);
+//
+//        HanLPEngine hanLPEngine = new HanLPEngine();
+//        Result parse = hanLPEngine.parse("我喜欢吃苹果");
+//
+//
+//        for (Word word : parse) {
+//            System.out.println(word);
+//        }
+
+        List<String> strings = HanLP.extractKeyword("身份证去哪里办理", 1);
+        List<String> string = HanLP.extractKeyword("需要带什么材料", 1);
+
+        // 分词
+        List<List<Term>> lists = StandardTokenizer.seg2sentence("那么还需要哪些材料");
+        for (List<Term> list : lists) {
+            for (Term term : list) {
+                System.out.println(term);
+                // 检查词性是否为主语相关的词性（例如：主谓宾中的主语通常是名词或代词）
+//                if (term.nature.equals(Nature.n)) { // 名词
+//                    System.out.println("主语: " + term);
+//                }
+//                if (term.nature.equals(Nature.r)) { // 代词，例如“他”、“她”等
+//                    System.out.println("主语: " + term);
+//                }
+            }
+        }
+    }
+}