using System;
using System.IO;
using System.Text;
using System.Collections;
using System.Collections.Generic;
using System.Text.RegularExpressions;
namespace LumkitCms.Utils
{
    /// <summary>
    /// 分词类
    /// </summary>
    public static class WordSpliter
    {
        #region 属性
        private static string SplitChar = " ";//分隔符
        #endregion
        //
        #region 数据缓存函数
        /// <summary>
        /// 数据缓存函数
        /// </summary>
        /// <param name="key">索引键</param>
        /// <param name="val">缓存的数据</param>
        private static void SetCache(string key, object val)
        {
            if (val == null)
                val = " ";
            System.Web.HttpContext.Current.Application.Lock();
            System.Web.HttpContext.Current.Application.Set(key, val);
            System.Web.HttpContext.Current.Application.UnLock();
        }
        /// <summary>
        /// 读取缓存
        /// </summary>
        /// <param name="mykey"></param>
        /// <returns></returns>
        private static object GetCache(string key)
        {
            return System.Web.HttpContext.Current.Application.Get(key);
        }
        #endregion
        //
        #region 读取文本
        private static SortedList ReadTxtFile(string FilePath)
        {
            if (GetCache("cms_dict") == null)
            {
                Encoding encoding = Encoding.GetEncoding("utf-8");
                SortedList arrText = new SortedList();
                //
                try
                {
                    FilePath = System.Web.HttpContext.Current.Server.MapPath(FilePath);
                    if (!File.Exists(FilePath))
                    {
                        arrText.Add("0", "文件" + FilePath + "不存在...");
                    }
                    else
                    {
                        StreamReader objReader = new StreamReader(FilePath, encoding);
                        string sLine = "";
                        //ArrayList arrText = new ArrayList();

while (sLine != null)
                        {
                            sLine = objReader.ReadLine();
                            if (sLine != null)
                                arrText.Add(sLine, sLine);
                        }
                        //
                        objReader.Close();
                        objReader.Dispose();
                    }
                }
                catch (Exception ex)
                {
                    throw ex;
                }
                SetCache("cms_dict", arrText);
            }
            return (SortedList)GetCache("cms_dict");
        }
        #endregion
        //
        #region 载入词典
        private static SortedList LoadDict(string dictfile)
        {
            return ReadTxtFile(dictfile);
        }
        #endregion
        //
        #region 判断某字符串是否在指定字符数组中
        private static bool StrIsInArray(string[] StrArray, string val)
        {
            for (int i = 0; i < StrArray.Length; i++)
                if (StrArray[i] == val) return true;
            return false;
        }
        #endregion
        //
        #region 正则检测
        private static bool IsMatch(string str, string reg)
        {
            return new Regex(reg).IsMatch(str);
        }
        #endregion
        //
        #region 首先格式化字符串(粗分)
        private static string FormatStr(string val)
        {
            string result = "";
            if (val == null || val == "")
                return "";
            //
            char[] CharList = val.ToCharArray();
            //
            string Spc = SplitChar;//分隔符
            int StrLen = CharList.Length;
            int CharType = 0; //0-空白 1-英文 2-中文 3-符号
            //
            for (int i = 0; i < StrLen; i++)
            {
                string StrList = CharList[i].ToString();
                if (StrList == null || StrList == "")
                    continue;
                //
                if (CharList[i] < 0x81)
                {
                    #region
                    if (CharList[i] < 33)
                    {
                        if (CharType != 0 && StrList != "/n" && StrList != "/r")
                        {
                            result += " ";
                            CharType = 0;
                        }
                        continue;
                    }
                    else if (IsMatch(StrList, "[^0-9a-zA-Z@//.%#:///&_-]"))//排除这些字符
                    {
                        if (CharType == 0)
                            result += StrList;
                        else
                            result += Spc + StrList;
                        CharType = 3;
                    }
                    else
                    {
                        if (CharType == 2 || CharType == 3)
                        {
                            result += Spc + StrList;
                            CharType = 1;
                        }
                        else
                        {
                            if (IsMatch(StrList, "[@%#:]"))
                            {
                                result += StrList;
                                CharType = 3;
                            }
                            else
                            {
                                result += StrList;
                                CharType = 1;
                            }//end if No.4
                        }//end if No.3
                    }//end if No.2
                    #endregion
                }//if No.1
                else
                {
                    //如果上一个字符为非中文和非空格,则加一个空格
                    if (CharType != 0 && CharType != 2)
                        result += Spc;
                    //如果是中文标点符号
                    if (!IsMatch(StrList, "^[/u4e00-/u9fa5]+$"))
                    {
                        if (CharType != 0)
                            result += Spc + StrList;
                        else
                            result += StrList;
                        CharType = 3;
                    }
                    else //中文
                    {
                        result += StrList;
                        CharType = 2;
                    }
                }
                //end if No.1

}//exit for
            //
            return result;
        }
        #endregion
        //
        #region 分词
        /// <summary>
        /// 分词
        /// </summary>
        /// <param name="key">关键词</param>
        /// <returns></returns>
        private static ArrayList StringSpliter(string[] key, string dictfile)
        {
            ArrayList List = new ArrayList();
            try
            {
                SortedList dict = LoadDict(dictfile);//载入词典
                //
                for (int i = 0; i < key.Length; i++)
                {
                    if (IsMatch(key[i], @"^(?!^/.$)([a-zA-Z0-9/./u4e00-/u9fa5]+)$")) //中文、英文、数字
                    {
                        if (IsMatch(key[i], "^[/u4e00-/u9fa5]+$"))//如果是纯中文
                        {
                            int keyLen = key[i].Length;
                            if (keyLen < 2)
                                continue;
                            else if (keyLen <= 7)
                                List.Add(key[i]);
                            //开始分词
                            for (int x = 0; x < keyLen; x++)
                            {
                                //x:起始位置//y:结束位置
                                for (int y = x; y < keyLen; y++)
                                {
                                    string val = key[i].Substring(x, keyLen - y);
                                    if (val == null || val.Length < 2)
                                        break;
                                    else if (val.Length > 10)
                                        continue;
                                    if (dict.Contains(val))
                                        List.Add(val);
                                }
                            }
                        }
                        else if (!IsMatch(key[i], @"^(/.*)$"))//不全是小数点
                        {
                            List.Add(key[i]);
                        }
                    }
                }
            }
            catch (Exception ex)
            {
                throw ex;
            }
            return List;
        }
        #endregion
        //
        #region 得到分词结果
        /// <summary>
        /// 得到分词结果
        /// </summary>
        /// <param name="key"></param>
        /// <returns></returns>
        public static string[] DoSplit(string key, string dictfile)
        {
            ArrayList KeyList = StringSpliter(FormatStr(key).Split(SplitChar.ToCharArray()), dictfile);
            KeyList.Insert(0, key);
            //去掉重复的关键词
            for (int i = 0; i < KeyList.Count; i++)
            {
                for (int j = 0; j < KeyList.Count; j++)
                {
                    if (KeyList[i].ToString() == KeyList[j].ToString())
                    {
                        if (i != j)
                        {
                            KeyList.RemoveAt(j); j--;
                        }
                    }
                }
            }
            return (string[])KeyList.ToArray(typeof(string));
        }
        /// <summary>
        /// 得到分词关键字,以逗号隔开
        /// </summary>
        /// <param name="key"></param>
        /// <returns></returns>
        public static string GetKeyword(string key, string dictfile)
        {
            string _value = "";
            string[] _key = DoSplit(key, dictfile);
            for (int i = 1; i < _key.Length; i++)
            {
                if (i == 1)
                    _value = _key[i].Trim();
                else
                    _value += "," + _key[i].Trim();
            }
            return _value;
        }
        #endregion
    }
}

关键词提取1-C#的更多相关文章

  1. TextRank:关键词提取算法中的PageRank

    很久以前,我用过TFIDF做过行业关键词提取.TFIDF仅仅从词的统计信息出发,而没有充分考虑词之间的语义信息.现在本文将介绍一种考虑了相邻词的语义关系.基于图排序的关键词提取算法TextRank [ ...

  2. HanLP 关键词提取算法分析

    HanLP 关键词提取算法分析 参考论文:<TextRank: Bringing Order into Texts> TextRank算法提取关键词的Java实现 TextRank算法自动 ...

  3. python实现关键词提取

    今天我来弄一个简单的关键词提取的代码 文章内容关键词的提取分为三大步: (1) 分词 (2) 去停用词 (3) 关键词提取 分词方法有很多,我这里就选择常用的结巴jieba分词:去停用词,我用了一个停 ...

  4. 关键词提取算法TextRank

    很久以前,我用过TFIDF做过行业关键词提取.TFIDF仅仅从词的统计信息出发,而没有充分考虑词之间的语义信息.现在本文将介绍一种考虑了相邻词的语义关系.基于图排序的关键词提取算法TextRank. ...

  5. 自然语言处理工具hanlp关键词提取图解TextRank算法

    看一个博主(亚当-adam)的关于hanlp关键词提取算法TextRank的文章,还是非常好的一篇实操经验分享,分享一下给各位需要的朋友一起学习一下! TextRank是在Google的PageRan ...

  6. HanLP 关键词提取算法分析详解

    HanLP 关键词提取算法分析详解 l 参考论文:<TextRank: Bringing Order into Texts> l TextRank算法提取关键词的Java实现 l Text ...

  7. 关键词提取_textbank

    脱离语料库,仅对单篇文档提取 (1) pageRank算法:有向无权,平均分配贡献度 基本思路: 链接数量:一个网页越被其他的网页链接,说明这个网页越重要 链接质量:一个网页被一个越高权值的网页链接, ...

  8. NLP自然语言处理 jieba中文分词,关键词提取,词性标注,并行分词,起止位置,文本挖掘,NLP WordEmbedding的概念和实现

    1. NLP 走近自然语言处理 概念 Natural Language Processing/Understanding,自然语言处理/理解 日常对话.办公写作.上网浏览 希望机器能像人一样去理解,以 ...

  9. 关键词提取自动摘要相关开源项目,自动化seo

    关键词提取自动摘要相关开源项目 GitHub - hankcs/HanLP: 自然语言处理 中文分词 词性标注 命名实体识别 依存句法分析 关键词提取 自动摘要 短语提取 拼音 简繁转换https:/ ...

  10. 关键词提取算法-TextRank

    今天要介绍的TextRank是一种用来做关键词提取的算法,也可以用于提取短语和自动摘要.因为TextRank是基于PageRank的,所以首先简要介绍下PageRank算法. 1.PageRank算法 ...

随机推荐

  1. linux基础-第十四单元 Linux网络原理及基础设置

    第十四单元 Linux网络原理及基础设置 三种网卡模式图 使用ifconfig命令来维护网络 ifconfig命令的功能 ifconfig命令的用法举例 使用ifup和ifdown命令启动和停止网卡 ...

  2. Servlet从本地文件中读取图片,并显示在页面中

    import java.io.IOException; import javax.servlet.ServletException; import javax.servlet.http.HttpSer ...

  3. 如何配置全世界最小的 MySQL 服务器

    配置全世界最小的 MySQL 服务器——如何在一块 Intel Edison 为控制板上安装一个 MySQL 服务器. 介绍 在我最近的一篇博文中,物联网,消息以及 MySQL,我展示了如果 Part ...

  4. Install marvel and head plugin for ealsticsearch

    安装ES插件 marvel marvel是ES的供开发者免费使用的管理工具,他内置了一款叫做Sense的控制台,Sense是运行在浏览器中的,基于Sense可以很方便的和ES进行通讯.官方文档中的很多 ...

  5. [转]div与span区别及用法

    DIV与SPAN区别及div与san用法篇 接下来了解在div+css开发的时候在html网页制作,特别是标签运用中div和span的区别及用法.新手在使用web标准(div css)开发网页的时候, ...

  6. swift项目实战--微博的未登录界面的实现,和监听未登录界面两个按钮的两种实现方法

    1.未登录界面的实现 微博项目中,用户不登录的话,显示的是未登录的界面.项目中TabBarVC的子控制器都是tableViewVC,所以抽取了父类,让父类判断用户是否登录,决定显示什么样的界面.loa ...

  7. iOS开发:读取pdf文件

    方法一:使用QLPreviewController #pragma mark  浏览存在沙盒的文件 -(void)quickLook { QLPreviewController *QLPreviewV ...

  8. kkt

  9. poj3694 缩点边双连通分量

    Network Time Limit: 5000MS   Memory Limit: 65536K Total Submissions: 8669   Accepted: 3175 Descripti ...

  10. Jquery 获取 radio/select选中值

    Radio <input type="radio" name="rd" id="rd1" checked="checked& ...