前言
现在几乎所有的网站再发布带有文字信息的内容时都会要求过滤掉发动的、不健康的、影响社会安定的等敏感词汇，这里为大家提供了可以是现在这种功能的解决方案
第一种方式
- 创建敏感词汇文件；首先需要准备一个txt格式的文件用于存放需要过滤的敏感词汇，这个文件放到resources资源文件的根目录
代码如下
package com.xxxx.service;
import lombok.Data;
import org.springframework.stereotype.Service;
import java.io.BufferedReader;
import java.io.IOException;
import java.io.InputStreamReader;
import java.io.UnsupportedEncodingException;
import java.util.ArrayList;
import java.util.Collection;
import java.util.HashMap;
import java.util.HashSet;
import java.util.List;
import java.util.Set;
/**
* 敏感词汇service
*
* @author
* @date
*/
@Data
@Service
public class SensitiveWordService {
private StringBuilder replaceAll;
/**
* 编码
* <P>
* 在读敏感词汇文件时需要用到
*/
private String encoding = "UTF-8";
/**
* 替换字符窜
* <P>
* 用于替换敏感词汇的字符窜
*/
private String replceStr = "*";
/**
*单次替换的敏感词汇的长度
*/
private int replceSize = 500;
/**
* 敏感词汇文件
* <P>
* 此文件放在资源文件的根目录下
*/
private String fileName = "censorwords.txt";
private List<String> arrayList;
/**
* 包含的敏感词列表，过滤掉重复项
*/
public Set<String> sensitiveWordSet;
/**
* 包含的敏感词列表，包括重复项，统计次数
*/
public List<String> sensitiveWordList;
/**
* 移除敏感词汇
*
* @param str 需要过滤的字符窜
*
* @return 过滤之后的字符窜
*/
public String removeSensitiveWord(String str){
SensitiveWordService sw = new SensitiveWordService("censorwords.txt");
sw.InitializationWork();
return sw.filterInfo(str);
}
/**
* 拦截信息
* <P>
* 过滤掉敏感词汇的方法
*
* @param str 将要被过滤信息
*
* @return 过滤后的信息
*/
public String filterInfo(String str) {
sensitiveWordSet = new HashSet<String>();
sensitiveWordList= new ArrayList<>();
StringBuilder buffer = new StringBuilder(str);
HashMap<Integer, Integer> hash = new HashMap<Integer, Integer>(arrayList.size());
String temp;
for(int x = 0; x < arrayList.size();x++) {
temp = arrayList.get(x);
int findIndexSize = 0;
for(int start = -1;(start=buffer.indexOf(temp,findIndexSize)) > -1;){
//System.out.println("###replace="+temp);
findIndexSize = start+temp.length();//从已找到的后面开始找
Integer mapStart = hash.get(start);//起始位置
//满足1个，即可更新map
if(mapStart == null || (mapStart != null && findIndexSize > mapStart)){
hash.put(start, findIndexSize);
//System.out.println("###敏感词："+buffer.substring(start, findIndexSize));
}
}
}
Collection<Integer> values = hash.keySet();
for(Integer startIndex : values){
Integer endIndex = hash.get(startIndex);
//获取敏感词，并加入列表，用来统计数量
String sensitive = buffer.substring(startIndex, endIndex);
//System.out.println("###敏感词："+sensitive);
if (!sensitive.contains("*")) {//添加敏感词到集合
sensitiveWordSet.add(sensitive);
sensitiveWordList.add(sensitive);
}
buffer.replace(startIndex, endIndex, replaceAll.substring(0,endIndex-startIndex));
}
hash.clear();
return buffer.toString();
}
/**
* 初始化敏感词库
*/
private void InitializationWork() {
replaceAll = new StringBuilder(replceSize);
for(int x=0;x < replceSize;x++)
{
replaceAll.append(replceStr);
}
//加载词库
arrayList = new ArrayList<String>();
InputStreamReader read = null;
BufferedReader bufferedReader = null;
try {
read = new InputStreamReader(SensitiveWordService.class.getClassLoader().getResourceAsStream(fileName),encoding);
bufferedReader = new BufferedReader(read);
for(String txt = null;(txt = bufferedReader.readLine()) != null;){
if(!arrayList.contains(txt))
arrayList.add(txt);
}
} catch (UnsupportedEncodingException e) {
e.printStackTrace();
} catch (IOException e) {
e.printStackTrace();
}finally{
try {
if(null != bufferedReader)
bufferedReader.close();
} catch (IOException e) {
e.printStackTrace();
}
try {
if(null != read)
read.close();
} catch (IOException e) {
e.printStackTrace();
}
}
}
/**
* 测试方法
*
* @param args 参数
*/
public static void main(String[] args){
long startNumer = System.currentTimeMillis();
SensitiveWordService sw = new SensitiveWordService("censorwords.txt");
sw.InitializationWork();
//System.out.println("敏感词的数量：" + arrayList.size());
String str = "你好呀，我这里有敏感词汇，来过滤我呀";
System.out.println("被检测字符串长度:"+str.length());
str = sw.filterInfo(str);
long endNumber = System.currentTimeMillis();
//System.out.println("语句中包含敏感词的个数为：" + sensitiveWordSet.size() + "。包含：" + sensitiveWordSet);
//System.out.println("语句中包含敏感词的个数为：" + sensitiveWordList.size() + "。包含：" + sensitiveWordList);
System.out.println("总共耗时:"+(endNumber-startNumer)+"ms");
System.out.println("替换后的字符串为:
"+str);
System.out.println("替换后的字符串长度为:
"+str.length());
}
/**
* 有参构造
* <P>
* 文件要求路径在src或resource下，默认文件名为censorwords.txt
* @param fileName 词库文件名(含后缀)
*/
public SensitiveWordService(String fileName) {
this.fileName = fileName;
}
/**
* 有参构造
*
* @param replceStr 敏感词被转换的字符
* @param replceSize 初始转义容量
*/
public SensitiveWordService(String replceStr, int replceSize){
this.replceStr = fileName;
this.replceSize = replceSize;
}
/**
* 无参构造
*/
public SensitiveWordService(){
}
}
第二种方法
package com.xxxx.filters;
import java.io.IOException;
import java.io.InputStream;
import java.util.Enumeration;
import java.util.Properties;
import java.util.regex.Matcher;
import java.util.regex.Pattern;
/**
* 【匹配度可以，速度较慢】
* Java关键字过滤：http://blog.csdn.net/linfssay/article/details/7599262
* @author ShengDecheng
*
*/
public class KeyWordFilter {
private static Pattern pattern = null;
private static int keywordsCount = 0;
// 从words.properties初始化正则表达式字符串
private static void initPattern() {
StringBuffer patternBuffer = new StringBuffer();
try {
//words.properties
InputStream in = KeyWordFilter.class.getClassLoader().getResourceAsStream("keywords.properties");
Properties property = new Properties();
property.load(in);
Enumeration<?> enu = property.propertyNames();
patternBuffer.append("(");
while (enu.hasMoreElements()) {
String scontent = (String) enu.nextElement();
patternBuffer.append(scontent + "|");
//System.out.println(scontent);
keywordsCount ++;
}
patternBuffer.deleteCharAt(patternBuffer.length() - 1);
patternBuffer.append(")");
//System.out.println(patternBuffer);
// unix换成UTF-8
// pattern = Pattern.compile(new
// String(patternBuf.toString().getBytes("ISO-8859-1"), "UTF-8"));
// win下换成gb2312
// pattern = Pattern.compile(new String(patternBuf.toString()
// .getBytes("ISO-8859-1"), "gb2312"));
// 装换编码
pattern = Pattern.compile(patternBuffer.toString());
} catch (IOException ioEx) {
ioEx.printStackTrace();
}
}
private static String doFilter(String str) {
Matcher m = pattern.matcher(str);
// while (m.find()) {// 查找符合pattern的字符串
// System.out.println("The result is here :" + m.group());
// }
// 选择替换方式，这里以* 号代替
str = m.replaceAll("*");
return str;
}
public static void main(String[] args) {
long startNumer = System.currentTimeMillis();
initPattern();
//String str = "我日，艹，fuck，你妹的 干啥呢";
System.out.println("敏感词的数量：" + keywordsCount);
String str = "你好呀，我这里有敏感词汇，来过滤我呀";
System.out.println("被检测字符串长度:"+str.length());
str = doFilter(str);
//高效Java敏感词、关键词过滤工具包_过滤非法词句：http://blog.csdn.net/ranjio_z/article/details/6299834
//FilteredResult result = WordFilterUtil.filterText(str, '*');
long endNumber = System.currentTimeMillis();
System.out.println("总共耗时:"+(endNumber-startNumer)+"ms");
System.out.println("替换后的字符串为:
"+str);
//System.out.println("替换后的字符串为:
"+result.getFilteredContent());
//System.out.println("替换后的字符串为1:
"+result.getOriginalContent());
//System.out.println("替换后的字符串为2:
"+result.getBadWords());
}
}
敏感词汇文件keywords.properties
