读者可以根据自己的需要进行加壳或改写，本文权当抛砖引玉。
笔者加的壳在：
http://download.csdn.net/source/1143450
VSM模型介绍：
http://blog.csdn.net/Felomeng/archive/2009/03/25/4024078.aspx
using System;
using System.Collections.Generic;
using System.Linq;
using System.Text;
using System.Text.RegularExpressions;
namespace Felomeng.VSMSimilarity
{
class SVMModle
{
/// <summary>
/// 降维词表
/// </summary>
private List<string> reducingKeys = new List<string>();
/// <summary>
/// 构造函数：使用降维表
/// </summary>
/// <param name="reducingKeys">降维词表</param>
public SVMModle(List<string> reducingKeys)
{
this.reducingKeys = reducingKeys;
}
/// <summary>
/// 构造函数：不使用降维表
/// </summary>
public SVMModle()
{
}
/// <summary>
/// 相似度计算
/// </summary>
/// <param name="text1">文档１（分好词的，分词符为非汉字字符）</param>
/// <param name="text2">文档２（分好词的，分词符为非汉字字符）</param>
/// <returns>两篇文章的相似度</returns>
public double Similarity(string text1, string text2)
{
double similarity = 0.0, numerator = 0.0, denominator1 = 0.0, denominator2 = 0.0;
int temp1, temp2;
Dictionary<string, int> dictionary1 = GetDictionary(text1);
Dictionary<string, int> dictionary2 = GetDictionary(text2);
if ((dictionary1.Count < 1) || (dictionary2.Count < 1))//如果任一篇文章中不含有汉字
{
return 0.0;
}
Dictionary<string, int>.KeyCollection keys1 = dictionary1.Keys;
foreach (string key in keys1)
{
dictionary1.TryGetValue(key, out temp1);
if (!dictionary2.TryGetValue(key, out temp2))
{
temp2 = 0;
}
dictionary2.Remove(key);
numerator += temp1 * temp2;
denominator1 += temp1 * temp1;
denominator2 += temp2 * temp2;
}
Dictionary<string, int>.KeyCollection keys2 = dictionary2.Keys;
foreach (string key in keys2)
{
dictionary2.TryGetValue(key, out temp2);
denominator2 += temp2 * temp2;
}
similarity = numerator / (Math.Sqrt(denominator1 * denominator2));
return similarity;
}
/// <summary>
/// 相似度计算
/// </summary>
/// <param name="text1">第一篇文档的词频词典</param>
/// <param name="text2">第二篇文档的词频词典</param>
/// <returns>两篇文档的相似度</returns>
public double Similarity(Dictionary<string, int> text1, Dictionary<string, int> text2)
{
double similarity = 0.0, numerator = 0.0, denominator1 = 0.0, denominator2 = 0.0;
int temp1, temp2;
Dictionary<string, int> dictionary1 = new Dictionary<string,int>( text1);
Dictionary<string, int> dictionary2 = new Dictionary<string,int>( text2);
if ((dictionary1.Count < 1) || (dictionary2.Count < 1))//如果任一篇文章中不含有汉字
{
return 0.0;
}
Dictionary<string, int>.KeyCollection keys1 = dictionary1.Keys;
foreach (string key in keys1)
{
dictionary1.TryGetValue(key, out temp1);
if (!dictionary2.TryGetValue(key, out temp2))
{
temp2 = 0;
}
dictionary2.Remove(key);
numerator += temp1 * temp2;
denominator1 += temp1 * temp1;
denominator2 += temp2 * temp2;
}
Dictionary<string, int>.KeyCollection keys2 = dictionary2.Keys;
foreach (string key in keys2)
{
dictionary2.TryGetValue(key, out temp2);
denominator2 += temp2 * temp2;
}
similarity = numerator / (Math.Sqrt(denominator1 * denominator2));
return similarity;
}
/// <summary>
/// 统计文档词频词典
/// </summary>
/// <param name="text">已分词文档，分隔符为非汉语字符</param>
/// <returns>该文档词频词典</returns>
public Dictionary<string, int> GetDictionary(string text)
{
Dictionary<string, int> dictionary = new Dictionary<string, int>();
Regex regex = new Regex(@"[/u4e00-/u9fa5]+");
MatchCollection results = regex.Matches(text);
int temp;
foreach (Match word in results)
{
if (dictionary.TryGetValue(word.Value, out temp))
{
temp++;
dictionary.Remove(word.Value);
dictionary.Add(word.Value, temp);
}
else
{
dictionary.Add(word.Value, 1);
}
}
return dictionary;
}
}
}
还有很多可以优化的地方，大家多加思考。如果能够得到适当优化的话，速度还能提高很多。