/*
* 分词函数
* @srcdata:待分词的文本
* 返回值:按照学长格式定义的分词结果的string表示
* 即{<分词1>}{<分词2>}...{<分词n>}
*/
// 这个函数是核心
// 输入是待分词的内容
// 输出是分词结果
// 分词结果的格式是{<word>}
// 这个格式是学长定义的，我们为了不破坏既定的接口，沿用了这个格式
// 这个函数的工作原理主要是调用了Lucene.Net.Analysis和Lucene.China的接口
// 调用这两个接口的配置工作很简单：1.在引用中加入dll文件 2.在可执行程序的目录下放置一个data文件夹，文件夹内有两个文件，分别是sDict和sNoise
// 存放词库和噪声
/*private bool isChineseWord(string word)
* {
* if (word == null)
* {
* return false;
* }
* for (int i = 0; i < word.Length; i++)
* {
* char chr = word[i];
* if (!(chr >= 0x4E00 && chr <= 0x9FFF))
* {
* return false;
* }
* }
*
* return true;
* }*/
/*private string word_seg(string srcdata)
* {
* //StringBuilder sb = new StringBuilder();
* //sb.Remove(0, sb.Length);
* string t1 = "";
* ChineseAnalyzer analyzer = new Lucene.China.ChineseAnalyzer();
* //string FilePath = @"C:\Users\梁亦清\Documents\Visual Studio 2013\Projects\中科院分词简例\1.htm";
*
* StringReader sr = new StringReader(srcdata);
* //Console.WriteLine(sr.ToString());
* //Environment.Exit(0);
* TokenStream stream = analyzer.TokenStream("", sr);
*
* //long begin = System.DateTime.Now.Ticks;
* Lucene.Net.Analysis.Token t = stream.Next();
* while (t != null)
* {
* /*
* t1 = t.ToString(); //显示格式： (关键词,0,2) ，需要处理
* t1 = t1.Replace("(", "");
* char[] separator = { ',' };
* t1 = t1.Split(separator)[0];
* if (isChineseWord(t1))
* {
* sb.Append("{<" + t1 + ">}");
* }
* t = stream.Next();
* }
* //return sb.ToString()
* }*/
// 这个函数是学长代码的对外接口，我们沿用了这个接口，但使用的分词方法不是朴素贝叶斯
/*public string DoWordSegment(string strIn)
* {
* return word_seg(strIn);
*
* }*/
public List <string> cutwords(string words, string analyzer = "Lucene.China.ChineseAnalyzer")
{
List <string> results = new List <string>();
switch (analyzer)
{
case "Lucene.Net.Analysis.SimpleAnalyzer":
SimpleAnalyzer analyzerInstance0 = new SimpleAnalyzer();
TokenStream ts0 = analyzerInstance0.ReusableTokenStream("", new StringReader(words));
Lucene.Net.Analysis.Token token0;
while ((token0 = ts0.Next()) != null)
{
results.Add(token0.TermText());
}
ts0.Close();
analyzerInstance0.Close();
break;
case "Lucene.Net.Analysis.KeywordAnalyzer":
KeywordAnalyzer analyzerInstance1 = new KeywordAnalyzer();
TokenStream ts1 = analyzerInstance1.ReusableTokenStream("", new StringReader(words));
Lucene.Net.Analysis.Token token1;
while ((token1 = ts1.Next()) != null)
{
results.Add(token1.TermText());
}
ts1.Close();
analyzerInstance1.Close();
break;
case "Lucene.Net.Analysis.StopAnalyzer":
StopAnalyzer analyzerInstance2 = new StopAnalyzer();
TokenStream ts2 = analyzerInstance2.ReusableTokenStream("", new StringReader(words));
Lucene.Net.Analysis.Token token2;
while ((token2 = ts2.Next()) != null)
{
results.Add(token2.TermText());
}
ts2.Close();
analyzerInstance2.Close();
break;
case "Lucene.Net.Analysis.WhitespaceAnalyzer":
WhitespaceAnalyzer analyzerInstance3 = new WhitespaceAnalyzer();
TokenStream ts3 = analyzerInstance3.ReusableTokenStream("", new StringReader(words));
Lucene.Net.Analysis.Token token3;
while ((token3 = ts3.Next()) != null)
{
results.Add(token3.TermText());
}
ts3.Close();
analyzerInstance3.Close();
break;
case "Lucene.Net.Analysis.PanGu.PanGuAnalyzer":
PanGu.Segment.Init(@"G:\CProjects\Pipeline\pipeline\Pipeline\bin\Release\PanGu.xml");
PanGuAnalyzer analyzerInstance4 = new PanGuAnalyzer();
TokenStream ts4 = analyzerInstance4.TokenStream("", new StringReader(words));
Lucene.Net.Analysis.Token token4;
while ((token4 = ts4.Next()) != null)
{
results.Add(token4.TermText());
}
ts4.Close();
analyzerInstance4.Close();
break;
case "Lucene.Net.Analysis.Standard.StandardAnalyzer":
StandardAnalyzer analyzerInstance5 = new StandardAnalyzer();
TokenStream ts5 = analyzerInstance5.ReusableTokenStream("", new StringReader(words));
Lucene.Net.Analysis.Token token5;
while ((token5 = ts5.Next()) != null)
{
results.Add(token5.TermText());
}
ts5.Close();
analyzerInstance5.Close();
break;
case "Lucene.China.ChineseAnalyzer":
default:
ChineseAnalyzer analyzerInstance6 = new ChineseAnalyzer();
TokenStream ts6 = analyzerInstance6.ReusableTokenStream("", new StringReader(words));
Lucene.Net.Analysis.Token token6;
while ((token6 = ts6.Next()) != null)
{
results.Add(token6.TermText());
}
ts6.Close();
analyzerInstance6.Close();
break;
}
return(results);
}
