敏感词汇屏蔽

@Service
public class SensitiveService implements InitializingBean {

    private static final Logger logger = LoggerFactory.getLogger(SensitiveService.class);

    /**
     * 默认敏感词替换符
     */
    private static final String DEFAULT_REPLACEMENT = "敏感词";


    private class TrieNode {

        /**
         * true 关键词的终结 ； false 继续
         */
        private boolean end = false;

        /**
         * key下一个字符，value是对应的节点
         */
        private Map<Character, TrieNode> subNodes = new HashMap<>();

        /**
         * 向指定位置添加节点树
         */
        void addSubNode(Character key, TrieNode node) {
            subNodes.put(key, node);
        }

        /**
         * 获取下个节点
         */
        TrieNode getSubNode(Character key) {
            return subNodes.get(key);
        }

        boolean isKeywordEnd() {
            return end;
        }

        void setKeywordEnd(boolean end) {
            this.end = end;
        }

        public int getSubNodeCount() {
            return subNodes.size();
        }


    }


    /**
     * 根节点
     */
    private TrieNode rootNode = new TrieNode();


    /**
     * 判断是否是一个符号
     */
    private boolean isSymbol(char c) {
        int ic = (int) c;
        // 0x2E80-0x9FFF 东亚文字范围
        return !CharUtils.isAsciiAlphanumeric(c) && (ic < 0x2E80 || ic > 0x9FFF);
    }


    /**
     * 过滤敏感词
     */
    public String filter(String text) {
        if (StringUtils.isBlank(text)) {
            return text;
        }
        String replacement = DEFAULT_REPLACEMENT;
        StringBuilder result = new StringBuilder();

        TrieNode tempNode = rootNode;
        int begin = 0; // 回滚数
        int position = 0; // 当前比较的位置

        while (position < text.length()) {
            char c = text.charAt(position);
            // 空格直接跳过
            if (isSymbol(c)) {
                if (tempNode == rootNode) {
                    result.append(c);
                    ++begin;
                }
                ++position;
                continue;
            }

            tempNode = tempNode.getSubNode(c);

            // 当前位置的匹配结束
            if (tempNode == null) {
                // 以begin开始的字符串不存在敏感词
                result.append(text.charAt(begin));
                // 跳到下一个字符开始测试
                position = begin + 1;
                begin = position;
                // 回到树初始节点
                tempNode = rootNode;
            } else if (tempNode.isKeywordEnd()) {
                // 发现敏感词， 从begin到position的位置用replacement替换掉
                result.append(replacement);
                position = position + 1;
                begin = position;
                tempNode = rootNode;
            } else {
                ++position;
            }
        }

        result.append(text.substring(begin));

        return result.toString();
    }

    private void addWord(String lineTxt) {
        TrieNode tempNode = rootNode;
        // 循环每个字节
        for (int i = 0; i < lineTxt.length(); ++i) {
            Character c = lineTxt.charAt(i);
            // 过滤空格
            if (isSymbol(c)) {
                continue;
            }
            TrieNode node = tempNode.getSubNode(c);

            if (node == null) { // 没初始化
                node = new TrieNode();
                tempNode.addSubNode(c, node);
            }

            tempNode = node;

            if (i == lineTxt.length() - 1) {
                // 关键词结束， 设置结束标志
                tempNode.setKeywordEnd(true);
            }
        }
    }


    @Override
    public void afterPropertiesSet() throws Exception {
        rootNode = new TrieNode();

        try {
            InputStream is = Thread.currentThread().getContextClassLoader()
                    .getResourceAsStream("SensitiveWords.txt");
            InputStreamReader read = new InputStreamReader(is);
            BufferedReader bufferedReader = new BufferedReader(read);
            String lineTxt;
            while ((lineTxt = bufferedReader.readLine()) != null) {
                lineTxt = lineTxt.trim();
                addWord(lineTxt);
            }
            read.close();
        } catch (Exception e) {
            logger.error("读取敏感词文件失败" + e.getMessage());
        }
    }

    
    public static void main(String[] argv) {
        SensitiveService s = new SensitiveService();
        s.addWord("色情");
        s.addWord("好色");
        System.out.print(s.filter("你好X色**情XX"));
    }

C#实现（生成dll调用即可，后续会更新去除空格的字符的屏蔽过滤测写法）

``` using System; using System.Collections.Generic; using System.Linq; using System.Text; using System.Collections; namespace com.lishuo.utils { public class SensitiveService { class TreeNode { //当前节点的所有子节点 //public HashTable subNodes = new HashTable(); public Hashtable subNodes = new Hashtable(); //判断当前树的结尾，即敏感词汇的结束 private bool end = false;//如果是true 就结束，否则继续往下判断

        //添加敏感词构造的的树
        public void addSubNodes(Char c, TreeNode node)
        {
            subNodes.Add(c, node);
        }

        //获取树节点
        public TreeNode getTreeNode(Char c)
        {
            return (TreeNode)subNodes[c];
        }

        //判断当前字符是否为敏感词
        public bool iskeyWords(Char c)
        {
            return end;
        }

        //设置敏感词的结束
        public void setKeyWords(bool end)
        {
            this.end = end;
        }

        //获取当前结点子节点的数量
        public int getSubNodeCount()
        {
            return subNodes.Count;
        }

    }
    TreeNode rootNode = new TreeNode();//建立树，空树
    /**
 * 将敏感词汇添加到树中
 */
    public void addWords(String TextLine)
    {
        TreeNode tempNode = rootNode;

        /* 这里面可以添加一些对传入字符串的过滤*/
        for (int i = 0; i < TextLine.Length; ++i)
        {
            Char c = TextLine[i];
            //TreeNode node = tempNode.getTreeNode(c);
            //if (node == null)
            //{//树的初始化
            TreeNode node = new TreeNode();
            tempNode.addSubNodes(c, node);
            //}
            tempNode = node;
            if (TextLine.Length - 1 == i)
            {
                //如果敏感词汇结束,就是设置end为ture
                tempNode.setKeyWords(true);
            }
        }
    }
    /**
    * 过滤敏感词的方法
    */
    public String filter(string message)
    {

        String REPLACEMENT = "*";//替换词
        TreeNode tempNode = rootNode;
        StringBuilder sb = new StringBuilder();//输出容器

        int begin = 0; //起始点
        int postion = 0;//当前活动节点

        //开始过滤
        while (postion < message.Length)
        {
            char c = message[postion];
            tempNode = tempNode.getTreeNode(c);
            if (tempNode == null)
            {
                //说明当前匹配已经结束
                sb.Append(c);
                postion = begin + 1;
                begin = postion;
                tempNode = rootNode;
            }
            else if (tempNode.iskeyWords(c))
            {
                for (int i = begin; i <= postion; ++i)
                {
                    sb.Append(REPLACEMENT);
                }
                postion++;
                begin = postion;
            }
            else
            {
                ++postion;
            }

        }
        sb.Append(message.Substring(begin));
        return sb.ToString();
    }

}

}