中文分词之结巴分词~~~附使用场景+demo(net)

常用技能(更新ing):http://www.cnblogs.com/dunitian/p/4822808.html#skill

技能总纲(更新ing):http://www.cnblogs.com/dunitian/p/5493793.html

在线演示:http://cppjieba-webdemo.herokuapp.com

完整demo:https://github.com/dunitian/TempCode/tree/master/2016-09-05

逆天修改版:https://github.com/dunitian/TempCode/blob/master/2016-09-05/jieba.NET.0.38.2.zip

先说下注意点,结巴分词他没有对分词进行一次去重,我们得自己干这件事;字典得自行配置或者设置成输出到bin目录

 

应用场景举例(搜索那块大家都知道,说点其他的)

——————————————————————————————————————————————————

言归正传:看一组民间统计数据:(非Net版,指的是官方版)

net版的IKanalyzer盘古分词好多年没更新了,所以这次选择了结巴分词(这个名字也很符合分词的意境~~结巴说话,是不是也是一种分词的方式呢?

下面简单演示一下:

1.先引入包:

2.字典设置:

3.简单封装的帮助类:

using System.Linq;
using JiebaNet.Segmenter;
using System.Collections.Generic;

namespace LoTLib.Word.Split
{
    #region 分词类型
    public enum JiebaTypeEnum
    {
        /// <summary>
        /// 精确模式---最基础和自然的模式,试图将句子最精确地切开,适合文本分析
        /// </summary>
        Default,
        /// <summary>
        /// 全模式---可以成词的词语都扫描出来, 速度更快,但是不能解决歧义
        /// </summary>
        CutAll,
        /// <summary>
        /// 搜索引擎模式---在精确模式的基础上对长词再次切分,提高召回率,适合用于搜索引擎分词
        /// </summary>
        CutForSearch,
        /// <summary>
        /// 精确模式-不带HMM
        /// </summary>
        Other
    } 
    #endregion

    /// <summary>
    /// 结巴分词
    /// </summary>
    public static partial class WordSplitHelper
    {
        /// <summary>
        /// 获取分词之后的字符串集合
        /// </summary>
        /// <param name="objStr"></param>
        /// <param name="type"></param>
        /// <returns></returns>
        public static IEnumerable<string> GetSplitWords(string objStr, JiebaTypeEnum type = JiebaTypeEnum.Default)
        {
            var jieba = new JiebaSegmenter();
            switch (type)
            {
                case JiebaTypeEnum.Default:
                    return jieba.Cut(objStr);                 //精确模式-带HMM
                case JiebaTypeEnum.CutAll:
                    return jieba.Cut(objStr, cutAll: true);   //全模式
                case JiebaTypeEnum.CutForSearch:
                    return jieba.CutForSearch(objStr);        //搜索引擎模式
                default:
                    return jieba.Cut(objStr, false, false);   //精确模式-不带HMM
            }
        }

        /// <summary>
        /// 获取分词之后的字符串
        /// </summary>
        /// <param name="objStr"></param>
        /// <param name="type"></param>
        /// <returns></returns>
        public static string GetSplitWordStr(this string objStr, JiebaTypeEnum type = JiebaTypeEnum.Default)
        {
            var words = GetSplitWords(objStr, type);
            //没结果则返回空字符串
            if (words == null || words.Count() < 1)
            {
                return string.Empty;
            }
            words = words.Distinct();//有时候词有重复的,得自己处理一下
            return string.Join(",", words);//根据个人需求返回
        }
    }
}

调用很简单:

            string str = "bootstrap-datetimepicker 进一步跟进~~~开始时间和结束时间的样式显示";
            Console.WriteLine("\n精确模式-带HMM:\n");
            Console.WriteLine(str.GetSplitWordStr());

            Console.WriteLine("\n全模式:\n");
            Console.WriteLine(str.GetSplitWordStr(JiebaTypeEnum.CutAll));

            Console.WriteLine("\n搜索引擎模式:\n");
            Console.WriteLine(str.GetSplitWordStr(JiebaTypeEnum.CutForSearch));

            Console.WriteLine("\n精确模式-不带HMM:\n");
            Console.WriteLine(str.GetSplitWordStr(JiebaTypeEnum.Other));

            Console.ReadKey();

效果:

--------------------------

有人可能会说,那内容关键词提取呢?==》别急,看下面:

这种方式所对应的字典是它=》idf.txt

简单说下Constants==》

效果:

完整帮助类(最新看github):https://github.com/dunitian/TempCode/tree/master/2016-09-05

using System.Linq;
using JiebaNet.Segmenter;
using System.Collections.Generic;
using JiebaNet.Analyser;

namespace LoTLib.Word.Split
{
    #region 分词类型
    public enum JiebaTypeEnum
    {
        /// <summary>
        /// 精确模式---最基础和自然的模式,试图将句子最精确地切开,适合文本分析
        /// </summary>
        Default,
        /// <summary>
        /// 全模式---可以成词的词语都扫描出来, 速度更快,但是不能解决歧义
        /// </summary>
        CutAll,
        /// <summary>
        /// 搜索引擎模式---在精确模式的基础上对长词再次切分,提高召回率,适合用于搜索引擎分词
        /// </summary>
        CutForSearch,
        /// <summary>
        /// 精确模式-不带HMM
        /// </summary>
        Other
    }
    #endregion

    /// <summary>
    /// 结巴分词
    /// </summary>
    public static partial class WordSplitHelper
    {
        #region 公用系列
        /// <summary>
        /// 获取分词之后的字符串集合
        /// </summary>
        /// <param name="objStr"></param>
        /// <param name="type"></param>
        /// <returns></returns>
        public static IEnumerable<string> GetSplitWords(string objStr, JiebaTypeEnum type = JiebaTypeEnum.Default)
        {
            var jieba = new JiebaSegmenter();
            switch (type)
            {
                case JiebaTypeEnum.Default:
                    return jieba.Cut(objStr);                 //精确模式-带HMM
                case JiebaTypeEnum.CutAll:
                    return jieba.Cut(objStr, cutAll: true);   //全模式
                case JiebaTypeEnum.CutForSearch:
                    return jieba.CutForSearch(objStr);        //搜索引擎模式
                default:
                    return jieba.Cut(objStr, false, false);   //精确模式-不带HMM
            }
        }

        /// <summary>
        /// 提取文章关键词集合
        /// </summary>
        /// <param name="objStr"></param>
        /// <returns></returns>
        public static IEnumerable<string> GetArticleKeywords(string objStr)
        {
            var idf = new TfidfExtractor();
            return idf.ExtractTags(objStr, 10, Constants.NounAndVerbPos);//名词和动词
        }

        /// <summary>
        /// 返回拼接后的字符串
        /// </summary>
        /// <param name="words"></param>
        /// <returns></returns>
        public static string JoinKeyWords(IEnumerable<string> words)
        {
            //没结果则返回空字符串
            if (words == null || words.Count() < 1)
            {
                return string.Empty;
            }
            words = words.Distinct();//有时候词有重复的,得自己处理一下
            return string.Join(",", words);//根据个人需求返回
        }
        #endregion

        #region 扩展相关
        /// <summary>
        /// 获取分词之后的字符串
        /// </summary>
        /// <param name="objStr"></param>
        /// <param name="type"></param>
        /// <returns></returns>
        public static string GetSplitWordStr(this string objStr, JiebaTypeEnum type = JiebaTypeEnum.Default)
        {
            var words = GetSplitWords(objStr, type);
            return JoinKeyWords(words);
        }

        /// <summary>
        /// 提取文章关键词字符串
        /// </summary>
        /// <param name="objStr"></param>
        /// <returns></returns>
        public static string GetArticleKeywordStr(this string objStr)
        {
            var words = GetArticleKeywords(objStr);
            return JoinKeyWords(words);
        } 
        #endregion
    }
}

 

还有耐心或者只看末尾的有福了~

web端的字典配置那是个烦啊,逆天把源码微调了下

 

使用方法和上面一样

web版演示:

https://github.com/dunitian/LoTCode/blob/master/PawChina/PawChina/PawChina.UI/Areas/PawRoot/assets/js/note.js

https://github.com/dunitian/LoTCode/blob/master/PawChina/PawChina/PawChina.UI/Areas/PawRoot/Controllers/PartialViewController.cs

结巴中文分词相关:

https://github.com/fxsjy/jieba

https://github.com/anderscui/jieba.NET

http://cppjieba-webdemo.herokuapp.com

posted @ 2016-09-05 15:15 毒逆天 阅读(...) 评论(...) 编辑 收藏
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