java利用jieba进行分词的实现

<dependency>
    <groupId>com.huaban</groupId>
    <artifactId>jieba-analysis</artifactId>
    <version>1.0.2</version>
</dependency>

implementation 'com.huaban:jieba-analysis:1.0.2'

import com.huaban.analysis.jieba.JiebaSegmenter;
import com.huaban.analysis.jieba.SegResult;

import java.util.List;

public class JiebaDemo {
    public static void main(String[] args) {
        // 创建分词器对象
        JiebaSegmenter segmenter = new JiebaSegmenter();

        // 待分词的文本
        String text = "小米13 Pro 5G手机，性价比超高！";

        // 使用精确模式分词
        List<String> segList = segmenter.sentenceProcess(text);
        System.out.println("精确模式分词结果：");
        for (String word : segList) {
            System.out.println(word);
        }

        // 使用全模式分词
        List<SegToken> process = segmenter.process(text, JiebaSegmenter.SegMode.SEARCH);
        List<String> fullSegList = process.stream().map(data->data.word).collect(Collectors.toList());
        System.out.println("搜索引擎模式分词结果：");
        for (String word : fullSegList) {
            System.out.println(word);
        }
    }
}

import com.huaban.analysis.jieba.JiebaSegmenter;
import java.sql.Connection;
import java.sql.DriverManager;
import java.sql.PreparedStatement;
import java.util.List;

public class JiebaWithDatabase {
    public static void main(String[] args) {
        // 数据库连接信息
        String url = "jdbc:mysql://localhost:3306/your_database";
        String user = "your_username";
        String password = "your_password";

        // 待分词的文本
        String text = "小米13 Pro 5G手机，性价比超高！";
        int productId = 1; // 假设这是商品ID

        // 创建分词器
        JiebaSegmenter segmenter = new JiebaSegmenter();

        // 使用精确模式分词
        List<String> segList = segmenter.sentenceProcess(text);

        // 连接数据库并插入分词结果
        try (Connection conn = DriverManager.getConnection(url, user, password)) {
            String sql = "INSERT INTO product_keyword (product_id, keyword) VALUES (?, ?)";
            PreparedStatement pstmt = conn.prepareStatement(sql);

            for (String word : segList) {
                pstmt.setInt(1, productId);
                pstmt.setString(2, word);
                pstmt.executeUpdate();
            }

            System.out.println("分词结果已存储到数据库！");
        } catch (Exception e) {
            e.printStackTrace();
        }
    }
}