Guide to Using the Sensitive‑Word Java Library for Sensitive Word Detection and Replacement

The document introduces the Sensitive‑Word library, a Java tool for detecting and handling sensitive words in text. It begins with the Maven dependency snippet required to add the latest version of the library to a project.

<dependency>
    <groupId>com.github.houbb</groupId>
    <artifactId>sensitive-word</artifactId>
    <version>0.18.0</version>
</dependency>

Next, it presents core usage examples, including basic find/replace operations, custom result handling, and detection of case‑insensitive, special‑character, numeric, and traditional‑simplified variations of sensitive words.

package com.example.demo;

import com.github.houbb.sensitive.word.api.IWordContext;
import com.github.houbb.sensitive.word.api.IWordReplace;
import com.github.houbb.sensitive.word.api.IWordResult;
import com.github.houbb.sensitive.word.bs.SensitiveWordBs;
import com.github.houbb.sensitive.word.core.SensitiveWordHelper;
import com.github.houbb.sensitive.word.support.result.WordResultHandlers;
import com.github.houbb.sensitive.word.utils.InnerWordCharUtils;

import java.util.List;

public class SensitiveWordTestDemo {
    public static void main(String[] args) {
        testMoreFeatures();
    }

    // ... (other test methods omitted for brevity) ...

    public static void testMoreFeatures() {
        // 1. Email detection
        String text = "楼主好人，邮箱 [email protected]";
        List
wordList = SensitiveWordBs.newInstance()
            .enableEmailCheck(true).init().findAll(text);
        System.out.println("是否存在邮箱：" + wordList.toString());
        // 2. Continuous number detection
        text = "你懂得：12345678";
        List
wordList1 = SensitiveWordBs.newInstance()
            .enableNumCheck(true).init().findAll(text);
        System.out.println("是否存在连续数字字符串：" + wordList1);
        // 3. URL detection
        text = "点击链接 https://www.baidu.com 查看答案";
        SensitiveWordBs sensitiveWordBs = SensitiveWordBs.newInstance()
            .enableUrlCheck(true).init();
        List
wordList3 = sensitiveWordBs.findAll(text);
        System.out.println("是否存在网址信息：" + wordList3.toString());
        System.out.println("是否存在网址信息2并替换：" + sensitiveWordBs.replace(text));
        // 4. IPv4 detection
        text = "个人网站，如果网址打不开可以访问 127.0.0.1。";
        SensitiveWordBs sensitiveWordBs2 = SensitiveWordBs.newInstance()
            .enableIpv4Check(true).init();
        List
wordList4 = sensitiveWordBs2.findAll(text);
        System.out.println("是否存在 IPv4：" + wordList4.toString());
    }
}

Additional sections cover custom replacement strategies by implementing IWordReplace , allowing developers to replace specific sensitive words with alternative terms or mask them with asterisks.

class MySensitiveWordReplace implements IWordReplace {
    @Override
    public void replace(StringBuilder stringBuilder, char[] chars, IWordResult wordResult, IWordContext iWordContext) {
        String sensitiveWord = InnerWordCharUtils.getString(chars, wordResult);
        if ("五星红旗".equals(sensitiveWord)) {
            stringBuilder.append("国家旗帜");
        } else if ("毛主席".equals(sensitiveWord)) {
            stringBuilder.append("教员");
        } else {
            int wordLength = wordResult.endIndex() - wordResult.startIndex();
            for (int i = 0; i < wordLength; i++) {
                stringBuilder.append('*');
            }
        }
    }
}

The article also displays sample console output illustrating detection results, replacements with default asterisks, custom symbols, and the effects of the various detection options.

Finally, the open‑source repository URL (https://github.com/houbb/sensitive-word) is provided, along with a brief promotional note about a backend‑focused technical community.