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Apache-2.0

ToolGood.Words

一款高性能非法词(敏感词)检测组件,附带繁体简体互换,支持全角半角互换,获取拼音首字母,获取拼音字母,拼音模糊搜索等功能。

C#语言,使用StringSearchEx2.Replace过滤,在48k敏感词库上的过滤速度超过3亿字符每秒。(cpu i7 8750h)

csharp 文件夹说明:

ToolGood.Pinyin.Build:          生成词的拼音
ToolGood.Pinyin.Pretreatment:   生成拼音预处理,核对拼音,词组最小化
ToolGood.Transformation.Build: 生成简体繁体转换文档,更新时文档放在同一目录下,词库参考 https://github.com/BYVoid/OpenCC
ToolGood.Words.Contrast:        字符串搜索对比
ToolGood.Words.Test:            单元测试
ToolGood.Words:                 本项目源代码

非法词(敏感词)检测(字符串搜索)

非法词(敏感词)检测类:StringSearchStringSearchExStringSearchEx2WordsSearchWordsSearchExWordsSearchEx2IllegalWordsSearch;

  • StringSearchStringSearchExStringSearchEx2StringSearchEx3: 搜索FindFirst方法返回结果为string类型。
  • WordsSearchWordsSearchExWordsSearchEx2WordsSearchEx3: 搜索FindFirst方法返回结果为WordsSearchResult类型, WordsSearchResult不仅仅有关键字,还有关键字的开始位置、结束位置,关键字序号等。
  • IllegalWordsSearch: 过滤非法词(敏感词)专用类,可设置跳字长度,默认全角转半角,忽略大小写,跳词,重复词,黑名单, 搜索FindFirst方法返回为IllegalWordsSearchResult,有关键字,对应原文,开始、位置,黑名单类型。
  • IllegalWordsSearchStringSearchExStringSearchEx2WordsSearchExWordsSearchEx2 使用SaveLoad方法,可以加快初始化。
  • 共同方法有:SetKeywordsContainsAnyFindFirstFindAllReplace
  • IllegalWordsSearch独有方法:SetSkipWords(设置跳词)、SetBlacklist(设置黑名单)。
  • IllegalWordsSearch字段UseIgnoreCase:设置是忽略否大小写,必须在SetKeywords方法之前,注:使用Load方法则该字段无效。
  • StringSearchEx3WordsSearchEx3为指针版优化版,实测时发现性能浮动比较大。
    string s = "中国|国人|zg人";
    string test = "我是中国人";

    StringSearch iwords = new StringSearch();
    iwords.SetKeywords(s.Split('|'));
    
    var b = iwords.ContainsAny(test);
    Assert.AreEqual(true, b);

    var f = iwords.FindFirst(test);
    Assert.AreEqual("中国", f);

    var all = iwords.FindAll(test);
    Assert.AreEqual("中国", all[0]);
    Assert.AreEqual("国人", all[1]);
    Assert.AreEqual(2, all.Count);

    var str = iwords.Replace(test, '*');
    Assert.AreEqual("我是***", str);

非法词(敏感词)检测(字符串搜索)(支持通配符)

非法词(敏感词)检测类:StringMatchStringMatchExWordsMatchWordsMatchEx

支持部分正则表达式类型:.(点)?(问号) [](方括号) (|)(括号与竖线)

    string s = ".[中美]国|国人|zg人";
    string test = "我是中国人";

    WordsMatch wordsSearch = new WordsMatch();
    wordsSearch.SetKeywords(s.Split('|'));

    var b = wordsSearch.ContainsAny(test);
    Assert.AreEqual(true, b);

    var f = wordsSearch.FindFirst(test);
    Assert.AreEqual("是中国", f.Keyword);

    var alls = wordsSearch.FindAll(test);
    Assert.AreEqual("是中国", alls[0].Keyword);
    Assert.AreEqual(".[中美]国", alls[0].MatchKeyword);
    Assert.AreEqual(1, alls[0].Start);
    Assert.AreEqual(3, alls[0].End);
    Assert.AreEqual(0, alls[0].Index);//返回索引Index,默认从0开始
    Assert.AreEqual("国人", alls[1].Keyword);
    Assert.AreEqual(2, alls.Count);

    var t = wordsSearch.Replace(test, '*');
    Assert.AreEqual("我****", t);

繁体简体互换、全角半角互换、数字转成中文大写、拼音操作

    // 转成简体
    WordsHelper.ToSimplifiedChinese("我愛中國");
    WordsHelper.ToSimplifiedChinese("我愛中國",1);// 港澳繁体 转 简体
    WordsHelper.ToSimplifiedChinese("我愛中國",2);// 台湾正体 转 简体
    // 转成繁体
    WordsHelper.ToTraditionalChinese("我爱中国");
    WordsHelper.ToTraditionalChinese("我爱中国",1);// 简体 转 港澳繁体
    WordsHelper.ToTraditionalChinese("我爱中国",2);// 简体 转 台湾正体
    // 转成全角
    WordsHelper.ToSBC("abcABC123");
    // 转成半角
    WordsHelper.ToDBC("abcABC123");
    // 数字转成中文大写
    WordsHelper.ToChineseRMB(12345678901.12);
    // 中文转成数字
    WordsHelper.ToNumber("壹佰贰拾叁亿肆仟伍佰陆拾柒万捌仟玖佰零壹元壹角贰分");
    // 获取全拼
    WordsHelper.GetPinyin("我爱中国");//WoAiZhongGuo   
    WordsHelper.GetPinyin("我爱中国",",");//Wo,Ai,Zhong,Guo   
    WordsHelper.GetPinyin("我爱中国",true);//WǒÀiZhōngGuó

    // 获取首字母
    WordsHelper.GetFirstPinyin("我爱中国");//WAZG
    // 获取全部拼音
    WordsHelper.GetAllPinyin('传');//Chuan,Zhuan
    // 获取姓名
    WordsHelper.GetPinyinForName("单一一")//ShanYiYi
    WordsHelper.GetPinyinForName("单一一",",")//Shan,Yi,Yi
    WordsHelper.GetPinyinForName("单一一",true)//ShànYīYī
拼音分支

ToolGood.Words.Pinyin 追求更快的加载速度(目前只有C#代码)。

拼音匹配

PinyinMatch:方法有SetKeywordsSetIndexsFindFindIndex

PinyinMatch<T>:方法有SetKeywordsFuncSetPinyinFuncSetPinyinSplitCharFind

    string s = "北京|天津|河北|辽宁|吉林|黑龙江|山东|江苏|上海|浙江|安徽|福建|江西|广东|广西|海南|河南|湖南|湖北|山西|内蒙古|宁夏|青海|陕西|甘肃|新疆|四川|贵州|云南|重庆|西藏|香港|澳门|台湾";

    PinyinMatch match = new PinyinMatch();
    match.SetKeywords(s.Split('|').ToList());

    var all = match.Find("BJ");
    Assert.AreEqual("北京", all[0]);
    Assert.AreEqual(1, all.Count);

    all = match.Find("北J");
    Assert.AreEqual("北京", all[0]);
    Assert.AreEqual(1, all.Count);

    all = match.Find("北Ji");
    Assert.AreEqual("北京", all[0]);
    Assert.AreEqual(1, all.Count);

    all = match.Find("S");
    Assert.AreEqual("山东", all[0]);
    Assert.AreEqual("江苏", all[1]);

    var all2 = match.FindIndex("BJ");
    Assert.AreEqual(0, all2[0]);
    Assert.AreEqual(1, all.Count);

性能对比

执行10万次性能对比,结果如下:

10W次性能对比

注:C#自带正则很慢,StringSearchEx2.ContainsAnyRegex.IsMatch效率的8.8万倍多,跟关键字数量有关。

Regex.Matches的运行方式跟IQueryable的类似,只返回MatchCollection,还没有计算。

在 Find All测试中, (检测出的文本中有敏感词汇,就不显示了,大家可自行调试查看)。

FastFilter只能检测出7个

StringSearch检测出14个

插曲:在细查Regex.Matches神奇3ms,我发现Regex.Matches有一个小问题,

Regex.Matches只能检测出11个

其他语言实现

Lua版本

作者:wenlifan 地址:https://github.com/wenlifan/SensitiveWordFilter

广告一下

《ToolGood 内容审核系统》正式发布,Windows、Linux双平台,内存占用小于100M。

官网:https://toolgood.com/

开源代码:https://github.com/toolgood/ToolGood.TextFilter

SqlOnline 正式发布,SQL在线编辑器,主打数据安全,Windows、Linux双平台。

源码:https://github.com/toolgood/ToolGood.SqlOnline

探讨敏感信息过滤:

敏感信息过滤研究会,Q群:128994346

敏感词相关文章

1、敏感词过滤方案那些事

2、普通公司敏感词审核制度

3、新人小白过滤敏感词方案

4、网络常用敏感词过滤方法

5、ToolGood.Words算法过滤敏感词优化原理 (收费30元,一顿KFC)

6、ToolGood.TextFilter开源代码优化详解 (收费300元) 与IllegalWordsSearch算法进行对比,阐述了ToolGood.TextFilter过滤算法优化点,如何减少内存使用量。 还有一小部分未写好,心急的人可以先买,我会持续更新。

7、正则转DFA算法(C#版、JAVA版) (收费30元,一顿KFC) ToolGood.TextFilter的一个核心算法就使用到正则转DFA。

8、JAVA版ToolGood.TextFilter

9、C#版图片鉴黄(收费30元,一顿KFC)

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简介

一款高性能非法词(敏感词)检测组件,附带繁体简体互换,支持全角半角互换,获取拼音首字母,获取拼音字母等功能。 展开 收起
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