private readonly string SESSION_NAME = "ListResultHrefs"; //缓存的key
protected void Page_Load(object sender, EventArgs e)
{
List <ExampleMyHref> resultHrefs;
if (!IsPostBack)
{
Session.RemoveAll(); //清空已有缓存以免冲突
resultHrefs = HrefCrawler(15); //爬取前15页
//分词并保存, 词频大于20的写入json
var segmenter = new JiebaSegmenter();
string allTItles = "";
foreach (ExampleMyHref href in resultHrefs)
{
allTItles += href.HrefTitle + ";";
href.KeywordList = new List <string>();
var word4Search = segmenter.CutForSearch(href.HrefTitle);
foreach (var word in word4Search)
{
if (!href.KeywordList.Contains(word))
{
href.KeywordList.Add(word);
}
}
}
var allWords = segmenter.CutForSearch(allTItles);
Dictionary <string, int> wordsInts = new Dictionary <string, int>();
string jsonstr = "[";
int i = 0;
foreach (var item in allWords.Distinct <string>())
{
if (item.Length >= 2 && item.Length <= 5)
{
if (!wordsInts.ContainsKey(item))
{
int f = GetFrequency(allWords, item); //统计词频
wordsInts.Add(item.Trim(), f);
if (f >= 20)
{
if (i == 0)
{
jsonstr += "{\"name\":\"" + item.Trim() + "\",\"value\":" + f + "}";
}
else
{
jsonstr += ",{\"name\":\"" + item.Trim() + "\",\"value\":" + f + "}";
}
i++;
}
}
}
}
jsonstr += "]";
WriteData("tieba.json", jsonstr);
Session[SESSION_NAME] = resultHrefs; //使用Session缓存查询到的数据
}
}
static void Main(string[] args)
{
List <string> stopWords = new List <string>();
string stopUrl = "./stopwords.txt";
StreamReader rd = File.OpenText(stopUrl);
string ss = "";
while ((ss = rd.ReadLine()) != null)
{
stopWords.Add(ss);
}
var segmenter = new JiebaSegmenter();
var segments = segmenter.Cut("我来到北京清华大学", cutAll: true);
Console.WriteLine("【全模式】：{0}", string.Join("/ ", segments));
segments = segmenter.Cut("我来到北京清华大学"); // 默认为精确模式
Console.WriteLine("【精确模式】：{0}", string.Join("/ ", segments));
segments = segmenter.Cut("他来到了网易杭研大厦"); // 默认为精确模式，同时也使用HMM模型
Console.WriteLine("【新词识别】：{0}", string.Join("/ ", segments));
segments = segmenter.CutForSearch("小明硕士毕业于中国科学院计算所，后在日本京都大学深造"); // 搜索引擎模式
Console.WriteLine("【搜索引擎模式】：{0}", string.Join("/ ", segments));
segments = segmenter.Cut("结过婚的和尚未结过婚的");
Console.WriteLine("【歧义消除】：{0}", string.Join("/ ", segments));
Console.ReadKey();
}
public void CutDemo()
{
var segmenter = new JiebaSegmenter();
var segments = segmenter.Cut("我来到北京清华大学", cutAll: true);
Console.WriteLine("【全模式】：{0}", string.Join("/ ", segments));
segments = segmenter.Cut("我来到北京清华大学"); // 默认为精确模式
Console.WriteLine("【精确模式】：{0}", string.Join("/ ", segments));
segments = segmenter.Cut("他来到了网易杭研大厦"); // 默认为精确模式，同时也使用HMM模型
Console.WriteLine("【新词识别】：{0}", string.Join("/ ", segments));
segments = segmenter.CutForSearch("小明硕士毕业于中国科学院计算所，后在日本京都大学深造"); // 搜索引擎模式
Console.WriteLine("【搜索引擎模式】：{0}", string.Join("/ ", segments));
segments = segmenter.Cut("结过婚的和尚未结过婚的");
Console.WriteLine("【歧义消除】：{0}", string.Join("/ ", segments));
segments = segmenter.Cut("北京大学生喝进口红酒");
Console.WriteLine("【歧义消除】：{0}", string.Join("/ ", segments));
segments = segmenter.Cut("在北京大学生活区喝进口红酒");
Console.WriteLine("【歧义消除】：{0}", string.Join("/ ", segments));
segments = segmenter.Cut("腾讯视频致力于打造中国最大的在线视频媒体平台,以丰富的内容、极致的观看体验");
Console.WriteLine("【精确模式】：{0}", string.Join("/ ", segments));
segmenter.DeleteWord("湖南");
segmenter.AddWord("湖南");
//segmenter.AddWord("长沙市");
segments = segmenter.Cut("湖南长沙市天心区");
Console.WriteLine("【精确模式】：{0}", string.Join("/ ", segments));
}
static void ApartWords(ref ArrayList text)
{
for (int i = 0; i < text.Count; i++)
{
string str = text[i].ToString().Trim(' ').Replace(" ", "");
var segmenter = new JiebaSegmenter();
var segments = segmenter.CutForSearch(str);
string[] x = segments.ToArray();
List <string> y = new List <string>();
int flag = 1;
for (int j = 0; j < x.Length; j++)
{
flag = 1;
foreach (var k in list)
{
if (x[j] == k.ToString())
{
flag = 0;
break;
}
}
if (flag == 1)
{
y.Add(x[j]);
}
}
text[i] = string.Join(" ", y);
}
}
/// <summary>
/// 全文检索处理
/// </summary>
/// <param name="content"></param>
/// <returns></returns>
public NpgsqlTsVector GetNpgsqlTsVector(string content)
{
NpgsqlTsVector vector;
try
{
var segmenter = new JiebaSegmenter();
HtmlToTextHelper htmlToTextHelper = new HtmlToTextHelper();
if (string.IsNullOrWhiteSpace(content))
{
return(null);;
}
string noHtmlConent = htmlToTextHelper.Convert(content);
var list = segmenter.CutForSearch(noHtmlConent, hmm: true);
var cutList = new List <string>();
foreach (var item in list)
{
if (item.Length > 1)
{
cutList.Add(item.ToUpper());
}
}
string str = string.Join(" ", cutList);
vector = NpgsqlTsVector.Parse(str);
}
catch (Exception ex)
{
return(null);
}
return(vector);
}
public void CutDemo()
{
var segmenter = new JiebaSegmenter();
var segments = segmenter.Cut("我来到北京清华大学", cutAll: true);
Console.WriteLine("【全模式】：{0}", string.Join("/ ", segments));
segments = segmenter.Cut("我来到北京清华大学"); // 默认为精确模式
Console.WriteLine("【精确模式】：{0}", string.Join("/ ", segments));
segments = segmenter.Cut("他来到了网易杭研大厦"); // 默认为精确模式，同时也使用HMM模型
Console.WriteLine("【新词识别】：{0}", string.Join("/ ", segments));
segments = segmenter.CutForSearch("小明硕士毕业于中国科学院计算所，后在日本京都大学深造"); // 搜索引擎模式
Console.WriteLine("【搜索引擎模式】：{0}", string.Join("/ ", segments));
segments = segmenter.Cut("结过婚的和尚未结过婚的");
Console.WriteLine("【歧义消除】：{0}", string.Join("/ ", segments));
segments = segmenter.Cut("北京大学生喝进口红酒");
Console.WriteLine("【歧义消除】：{0}", string.Join("/ ", segments));
segments = segmenter.Cut("在北京大学生活区喝进口红酒");
Console.WriteLine("【歧义消除】：{0}", string.Join("/ ", segments));
segments = segmenter.Cut("腾讯视频致力于打造中国最大的在线视频媒体平台,以丰富的内容、极致的观看体验");
Console.WriteLine("【精确模式】：{0}", string.Join("/ ", segments));
segmenter.DeleteWord("湖南");
segmenter.AddWord("湖南");
//segmenter.AddWord("长沙市");
segments = segmenter.Cut("湖南长沙市天心区");
Console.WriteLine("【精确模式】：{0}", string.Join("/ ", segments));
}
/// <summary>
/// 分词
/// </summary>
/// <param name="keyword"></param>
/// <returns></returns>
public List <string> CutKeywords(string keyword)
{
if (_memoryCache.TryGetValue(keyword, out List <string> list))
{
return(list);
}
var set = new HashSet <string>
{
keyword
};
var mc = Regex.Matches(keyword, @"(([A-Z]*[a-z]*)[\d]*)([\u4E00-\u9FA5]+)*((?!\p{P}).)*");
foreach (Match m in mc)
{
set.Add(m.Value);
foreach (Group g in m.Groups)
{
set.Add(g.Value);
}
}
var segmenter = new JiebaSegmenter();
foreach (string word in segmenter.CutForSearch(keyword))
{
set.Add(word);
}
set.RemoveWhere(s => s.Length < 2 || Regex.IsMatch(s, @"^\p{P}.*"));
list = set.OrderByDescending(s => s.Length).ToList();
_memoryCache.Set(keyword, list, TimeSpan.FromHours(1));
return(list);
}
public void CutDemo()
{
var segmenter = new JiebaSegmenter();
var segments = segmenter.Cut("我来到北京清华大学", cutAll: true);
Console.WriteLine("【全模式】：{0}", string.Join("/ ", segments));
segments = segmenter.Cut("我来到北京清华大学"); // 默认为精确模式
Console.WriteLine("【精确模式】：{0}", string.Join("/ ", segments));
segments = segmenter.Cut("他来到了网易杭研大厦"); // 默认为精确模式，同时也使用HMM模型
Console.WriteLine("【新词识别】：{0}", string.Join("/ ", segments));
segments = segmenter.CutForSearch("小明硕士毕业于中国科学院计算所，后在日本京都大学深造"); // 搜索引擎模式
Console.WriteLine("【搜索引擎模式】：{0}", string.Join("/ ", segments));
segments = segmenter.Cut("结过婚的和尚未结过婚的");
Console.WriteLine("【歧义消除】：{0}", string.Join("/ ", segments));
segments = segmenter.Cut("北京大学生喝进口红酒");
Console.WriteLine("【歧义消除】：{0}", string.Join("/ ", segments));
segments = segmenter.Cut("在北京大学生活区喝进口红酒");
Console.WriteLine("【歧义消除】：{0}", string.Join("/ ", segments));
}
public static void Add(string text)
{
var segmenter = new JiebaSegmenter();
var result = segmenter.CutForSearch(text)
.GroupBy(s => s)
.Where(s => s.Key.Length > 1)
.Select(s => new { Key = s.Key, Count = s.Count() })
.ToList();
//using (ApplicationDbContext db = new ApplicationDbContext())
//{
var temp = result.Select(s => s.Key).ToList();
var keys = db.Keywords.Where(s => temp.Contains(s.Word)).ToList();
var words = keys.Select(s => s.Word).ToList();
foreach (var item in keys)
{
item.CouponNameCount += result.FirstOrDefault(s => s.Key == item.Word)?.Count ?? 0;
}
var addKeys = result.Where(s => !words.Contains(s.Key)).Select(s => new Keyword
{
CouponNameCount = s.Count,
Word = s.Key
}).ToList();
db.Keywords.AddRange(addKeys);
db.SaveChanges();
//}
}
private List <string> WordSplitResult(string strWords)
{
List <string> result = new List <string>();
IEnumerable <string> segments;
switch (comboBoxCutMode.SelectedIndex)
{
case 0:
segments = segmenter.Cut(strWords);
break;
case 1:
segments = segmenter.CutForSearch(strWords);
break;
case 2:
var idf = new TfidfExtractor();
segments = idf.ExtractTags(strWords, 20, Constants.NounAndVerbPos);
break;
default:
var textRank = new TextRankExtractor();
segments = textRank.ExtractTags(strWords, 20, Constants.NounAndVerbPos);
break;
}
foreach (string str in string.Join(" ", segments).Split(' '))
{
if (!stopwordsList.Contains(str))
{
result.Add(str);
}
}
return(result);
}
private void button1_Click(object sender, EventArgs e)
{
JiebaSegmenter jb = new JiebaSegmenter();
var words = jb.CutForSearch(this.richTextBox1.Text);
MsgDtlHandle(string.Format("【搜索引擎模式】：{0}", string.Join("/ ", words)));
}
static void Main(string[] args)
{
var segmenter = new JiebaSegmenter();
segmenter.LoadUserDict("userdict.txt");
var segments = segmenter.Cut("我来到北京清华大学", cutAll: true);
Console.WriteLine("【全模式】：{0}", string.Join("/ ", segments));
segments = segmenter.Cut("我来到北京清华大学"); // 默认为精确模式
Console.WriteLine("【精确模式】：{0}", string.Join("/ ", segments));
segments = segmenter.Cut("他来到了网易杭研大厦"); // 默认为精确模式，同时也使用HMM模型
Console.WriteLine("【新词识别】：{0}", string.Join("/ ", segments));
segments = segmenter.CutForSearch("小明硕士毕业于中国科学院计算所，后在日本京都大学深造"); // 搜索引擎模式
Console.WriteLine("【搜索引擎模式】：{0}", string.Join("/ ", segments));
segments = segmenter.Cut("结过婚的和尚未结过婚的");
Console.WriteLine("【歧义消除】：{0}", string.Join("/ ", segments));
segments = segmenter.Cut("linezerodemo机器学习学习机器");
Console.WriteLine("【用户字典】：{0}", string.Join("/ ", segments));
Console.ReadKey();
}
/// <summary>
/// jieba.net分词，为检索专用，分的更细
/// </summary>
/// <param name="str">输入字符串</param>
/// <param name="strout">输出字符串</param>
/// <returns></returns>
public string JiebaSeg(string str)
{
var segmenter = new JiebaSegmenter();
var segments = segmenter.CutForSearch(str);
return(string.Join(" ", segments));
}
static void Main(string[] args)
{
var segmenter = new JiebaSegmenter();
segmenter.LoadUserDict("userdict.txt");
var segments = segmenter.Cut("我来到北京清华大学", cutAll: true);
Console.WriteLine("【全模式】：{0}", string.Join("/ ", segments));
segments = segmenter.Cut("我来到北京清华大学"); // 默认为精确模式
Console.WriteLine("【精确模式】：{0}", string.Join("/ ", segments));
segments = segmenter.Cut("他来到了网易杭研大厦"); // 默认为精确模式，同时也使用HMM模型
Console.WriteLine("【新词识别】：{0}", string.Join("/ ", segments));
segments = segmenter.CutForSearch("小明硕士毕业于中国科学院计算所，后在日本京都大学深造"); // 搜索引擎模式
Console.WriteLine("【搜索引擎模式】：{0}", string.Join("/ ", segments));
segments = segmenter.Cut("结过婚的和尚未结过婚的");
Console.WriteLine("【歧义消除】：{0}", string.Join("/ ", segments));
segments = segmenter.Cut("linezerodemo机器学习学习机器");
Console.WriteLine("【用户字典】：{0}", string.Join("/ ", segments));
//词频统计
var s = "此领域探讨如何处理及运用自然语言。自然语言生成系统把计算机数据转化为自然语言。自然语言理解系统把自然语言转化为计算机程序更易于处理的形式。";
var freqs = new Counter <string>(segmenter.Cut(s));
foreach (var pair in freqs.MostCommon(5))
{
Console.WriteLine($"{pair.Key}: {pair.Value}");
}
Console.ReadKey();
}
public string GetSearchKeyWorlds(string keyword)
{
var segmenter = new JiebaSegmenter();
var list = segmenter.CutForSearch(keyword, hmm: true);
string result = string.Join(" ", list);
return(result);
}
protected void Button1_Click(object sender, EventArgs e)
{
string text = TextBox1.Text;
var segmenter = new JiebaSegmenter();
string aimFile = string.Format(@"./Resources/{0}.txt", text);
string content = GetContent(aimFile);
Stopwatch sw = new Stopwatch();
sw.Start();
var wordsforSearch = segmenter.CutForSearch(content);
Dictionary <string, int> persons = new Dictionary <string, int>();
string jsonstr = "[";
int i = 0;
foreach (string item in wordsforSearch.Distinct <string>())
{
if (item.Length >= 2 && item.Length <= 4)
{
if (!persons.ContainsKey(item))
{
int f = GetFrequence(wordsforSearch, item);
persons.Add(item.Trim(), f);
if (f >= 20 && f != 2406)
{
if (i == 0)
{
jsonstr += "{\"name\":\"" + item.Trim() + "\",\"value\":" + f + "}";
}
else
{
jsonstr += ",{\"name\":\"" + item.Trim() + "\",\"value\":" + f + "}";
}
i++;
}
}
}
}
jsonstr += "]";
string name = TextBox2.Text;
GetJson(name, jsonstr);
persons = (from entry in persons orderby entry.Value descending select entry).ToDictionary(pair => pair.Key, pair => pair.Value);
string result = ""; foreach (var person in persons)
{
if (person.Value >= 20)
{
result += ("<br>" + person.Key + "-" + person.Value.ToString());
}
}
Response.Write(result); sw.Stop(); TimeSpan ts2 = sw.Elapsed; Response.Write(string.Format("</br>Stopwatch 总共花费{0}ms.", ts2.TotalMilliseconds.ToString()));
if (!(content == ""))
{
Response.Write(string.Format("</br>" + "结果已输出至{0}.json" + "</br>", name));
}
}
protected void btnSearch_Click(object sender, EventArgs e)
{
var segmenter = new JiebaSegmenter();
string aimFile = @"./Resources/三国演义.txt";
string content = ReadData(aimFile);
var wordsforSearch = segmenter.CutForSearch(content);
Response.Write("</br>【搜索引擎模式】：{0}" + string.Join("/ ", wordsforSearch));
}
public static IEnumerable <string> CutForSearch(this string str)
{
if (string.IsNullOrWhiteSpace(str))
{
return(new string[0]);
}
var segement = new JiebaSegmenter();
return(segement.CutForSearch(str));
}
public static List <string> GetWords(string content)
{
JiebaSegmenter segmenter = new JiebaSegmenter();
string goodstr = RemoveBadSymbols(content);
List <string> words = segmenter.CutForSearch(goodstr).ToList();
words.RemoveAll(str => str.Equals(""));
words.RemoveAll(str => str.Equals(" "));
return(words);
}
public static string[] ToSeparateByJieba(this string key)
{
var segmenter = new JiebaSegmenter();
segmenter.LoadUserDict(GlobalConstants.MusicDictionaryPath);
var stopDict = LoadStopDict(GlobalConstants.MusicStopDictionaryPath);
var segmentList = (segmenter.CutForSearch(key))
.Where(s => !string.IsNullOrWhiteSpace(s))
.ToList();
var segments = segmentList.Except(stopDict);
return(segments.ToArray());
}
public void Get_Word6_Test()
{
string val = "今年累计发货多少车";
var segmenter = new JiebaSegmenter();
var segments = segmenter.Cut(val, cutAll: true);
Console.WriteLine(string.Join('/', segments));
segments = segmenter.Cut(val);
Console.WriteLine(string.Join('/', segments));
segments = segmenter.CutForSearch(val);
Console.WriteLine(string.Join('/', segments));
}
protected void Page_Load(object sender, EventArgs e)
{
var segmenter = new JiebaSegmenter();
var seg = segmenter.Cut("我来自华东师范大学", cutAll: true);
Response.Write(string.Format("[全模式]：{0}</br>", string.Join("/", seg)));
seg = segmenter.Cut("我来自华东师范大学");//默认为精确模式,同时使用HMM模型
Response.Write(string.Format("[精确模式]：{0}</br>", string.Join("/", seg)));
seg = segmenter.Cut("他来到了华东师范大学群贤堂");
Response.Write(string.Format("[新词识别]:{0}</br>", string.Join("/", seg)));
seg = segmenter.CutForSearch("李白硕士毕业于东方大学计算所，后在日本京都大学深造");
Response.Write(string.Format("[搜索引擎模式]:{0}</br>", string.Join("/", seg)));
seg = segmenter.Cut("结过婚的和尚结过婚的");
Response.Write(string.Format("[歧义消除]:{0}</br>", string.Join("/", seg)));
}
protected void Page_Load(object sender, EventArgs e)
{
var segmenter = new JiebaSegmenter();
var segments = segmenter.Cut("我来自华东师范大学", cutAll: true);
Response.Write(string.Format("【全模式】：{0}</br>", string.Join("/ ", segments)));
segments = segmenter.Cut("我来自华东师范大学"); //默认为精确模式
Response.Write(string.Format("【精确模式】：{0}</br>", string.Join("/ ", segments)));
segments = segmenter.Cut("他来到了华东师范大学群贤堂"); //默认为精确模式，同时也使用HMM模型
Response.Write(string.Format("【新词识别】：{0}</br>", string.Join("/ ", segments)));
segments = segmenter.CutForSearch("李白硕士毕业于东方大学计算所，后在日本京都大学深造"); //搜索引擎模式
Response.Write(string.Format("【搜索引擎模式】：{0}</br>", string.Join("/ ", segments)));
segments = segmenter.Cut("结过婚的和尚未结过婚的");
Response.Write(string.Format("【歧义消除】：{0}</br>", string.Join("/ ", segments)));
}
/// <summary>
/// 分词
/// </summary>
/// <param name="keyword"></param>
/// <returns></returns>
public List <string> CutKeywords(string keyword)
{
if (_memoryCache.TryGetValue(keyword, out List <string> list))
{
return(list);
}
var set = new HashSet <string>
{
keyword
};
var mc = Regex.Matches(keyword, @"(([A-Z]*[a-z]*)[\d]*)([\u4E00-\u9FA5]+)*((?!\p{P}).)*");
foreach (Match m in mc)
{
set.Add(m.Value);
foreach (Group g in m.Groups)
{
set.Add(g.Value);
}
}
if (keyword.Length >= 6)
{
try
{
var res = HttpClient.GetAsync($"/api/customsearch/keywords?title={keyword}").Result;
if (res.StatusCode == HttpStatusCode.OK)
{
BaiduAnalysisModel model = JsonConvert.DeserializeObject <BaiduAnalysisModel>(res.Content.ReadAsStringAsync().Result);
model.Result.Res.KeywordList?.ForEach(s => set.Add(s));
}
}
catch
{
// ignored
}
}
var segmenter = new JiebaSegmenter();
foreach (string word in segmenter.CutForSearch(keyword))
{
set.Add(word);
}
set.RemoveWhere(s => s.Length < 2 || Regex.IsMatch(s, @"^\p{P}.*"));
list = set.OrderByDescending(s => s.Length).ToList();
_memoryCache.Set(keyword, list, TimeSpan.FromHours(1));
return(list);
}
public void TestCut()
{
var segmenter = new JiebaSegmenter();
segmenter.LoadUserDict(@"D:\lucene\dict.txt");
segmenter.LoadUserDictForEmbedded(Assembly.GetCallingAssembly(), "dict.txt");
var segments = segmenter.Cut("我来到北京清华大学", cutAll: true);
var resultWords = new List <string> {
"我", "来到", "北京", "清华", "清华大学", "华大", "大学"
};
Compared(segments, resultWords);
segments = segmenter.Cut("我来到北京清华大学");
resultWords = new List <string> {
"我", "来到", "北京", "清华大学"
};
Compared(segments, resultWords);
segments = segmenter.Cut("他来到了网易杭研大厦"); // 默认为精确模式，同时也使用HMM模型
resultWords = new List <string> {
"他", "来到", "了", "网易", "杭研", "大厦"
};
Compared(segments, resultWords);
segments = segmenter.CutForSearch("小明硕士毕业于中国科学院计算所，后在日本京都大学深造"); // 搜索引擎模式
resultWords = new List <string> {
"小明", "硕士", "毕业", "于", "中国", "科学", "学院", "科学院", "中国科学院", "计算", "计算所", "，", "后"
, "在", "日本", "京都", "大学", "日本京都大学", "深造"
};
Compared(segments, resultWords);
segments = segmenter.Cut("结过婚的和尚未结过婚的");
resultWords = new List <string> {
"结过婚", "的", "和", "尚未", "结过婚", "的"
};
Compared(segments, resultWords);
segments = segmenter.Cut("快奔三", false, false);
resultWords = new List <string> {
"快", "奔三"
};
Compared(segments, resultWords);
}
public void CutDemo()
{
var segmenter = new JiebaSegmenter();
var segments = segmenter.Cut("我来到北京清华大学", cutAll: true);
Console.WriteLine("【全模式】：{0}", string.Join("/ ", segments));
segments = segmenter.Cut("我来到北京清华大学"); // 默认为精确模式
Console.WriteLine("【精确模式】：{0}", string.Join("/ ", segments));
segments = segmenter.Cut("他来到了网易杭研大厦"); // 默认为精确模式，同时也使用HMM模型
Console.WriteLine("【新词识别】：{0}", string.Join("/ ", segments));
segments = segmenter.CutForSearch("小明硕士毕业于中国科学院计算所，后在日本京都大学深造"); // 搜索引擎模式
Console.WriteLine("【搜索引擎模式】：{0}", string.Join("/ ", segments));
segments = segmenter.Cut("结过婚的和尚未结过婚的");
Console.WriteLine("【歧义消除】：{0}", string.Join("/ ", segments));
}
/// <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
}
}
public static void UpdateSearchCount(string text)
{
var segmenter = new JiebaSegmenter();
var result = segmenter.CutForSearch(text)
.GroupBy(s => s)
.Where(s => s.Key.Length > 1)
.Select(s => new { Key = s.Key, Count = s.Count() })
.ToList();
using (ApplicationDbContext db = new ApplicationDbContext())
{
var temp = result.Select(s => s.Key).ToList();
var keys = db.Keywords.Where(s => temp.Contains(s.Word)).ToList();
foreach (var item in keys)
{
item.SearchCount += result.FirstOrDefault(s => s.Key == item.Word).Count;
}
db.SaveChanges();
}
}
public void JiebaSegmenterTest()
{
var segmenter = new JiebaSegmenter();
string message = "多线程";
var segments = segmenter.Cut(message, cutAll: true);
Console.WriteLine("【全模式】：{0}", string.Join("/ ", segments));
segments = segmenter.Cut(message); // 默认为精确模式
Console.WriteLine("【精确模式】：{0}", string.Join("/ ", segments));
segments = segmenter.Cut(message, hmm: true); // 默认为精确模式，同时也使用HMM模型
Console.WriteLine("【新词识别】：{0}", string.Join("/ ", segments));
segments = segmenter.CutForSearch(message); // 搜索引擎模式
Console.WriteLine("【搜索引擎模式】：{0}", string.Join("/ ", segments));
segments = segmenter.Cut(message);
Console.WriteLine("【歧义消除】：{0}", string.Join("/ ", segments));
}
static void Main(string[] args)
{
var segmenter = new JiebaSegmenter();
var segments = segmenter.Cut("WebApi 教程", cutAll: true);
Console.WriteLine("【全模式】：{0}", string.Join("/ ", segments));
segments = segmenter.Cut("WebApi 教程"); // 默认为精确模式
Console.WriteLine("【精确模式】：{0}", string.Join("/ ", segments));
segments = segmenter.Cut("WebApi 教程"); // 默认为精确模式，同时也使用HMM模型
Console.WriteLine("【新词识别】：{0}", string.Join("/ ", segments));
segments = segmenter.CutForSearch("webapi 教程"); // 搜索引擎模式
Console.WriteLine("【搜索引擎模式】：{0}", string.Join("/ ", segments));
segments = segmenter.Cut("webapi 教程");
Console.WriteLine("【歧义消除】：{0}", string.Join("/ ", segments));
Console.ReadKey();
}
/// <summary>
/// 分词测试
/// </summary>
/// <param name="keyword"></param>
/// <returns></returns>
public static string Token(string keyword)
{
string ret = "";
var segmenter = new JiebaSegmenter();
var segments = segmenter.Cut("我来到北京清华大学", cutAll: true);
ret = string.Format("【全模式】：{0}", string.Join("/ ", segments));
segments = segmenter.Cut("我来到北京清华大学"); // 默认为精确模式
ret = string.Format("【精确模式】：{0}", string.Join("/ ", segments));
segments = segmenter.Cut("他来到了网易杭研大厦"); // 默认为精确模式，同时也使用HMM模型
ret = string.Format("【新词识别】：{0}", string.Join("/ ", segments));
segments = segmenter.CutForSearch("小明硕士毕业于中国科学院计算所，后在日本京都大学深造"); // 搜索引擎模式
ret = string.Format("【搜索引擎模式】：{0}", string.Join("/ ", segments));
segments = segmenter.Cut("结过婚的和尚未结过婚的");
ret = string.Format("【歧义消除】：{0}", string.Join("/ ", segments));
return(ret);
}
protected void BtnSearch_OnClick(object sender, EventArgs e)
{
string strSearch = TxtKeyword.Text;
var segmenter = new JiebaSegmenter();
var searchKeywords = segmenter.CutForSearch(strSearch); //为了尽可能匹配到将搜索内容也分解为关键字
var searchResults = new List <ExampleMyHref>();
var resultHrefs = (List <ExampleMyHref>)Session[SESSION_NAME]; //读取缓存
var hrefUrls = new List <string>(); // 用于去重
foreach (var href in resultHrefs)
{
if (!hrefUrls.Contains(href.HrefSrc))
{
foreach (var hrefKeyword in href.KeywordList)
{
if (searchKeywords.Contains(hrefKeyword))
{
hrefUrls.Add(href.HrefSrc);
searchResults.Add(href);
break;
}
}
}
}
if (searchResults.IsNotEmpty())
{
foreach (var item in searchResults)
{
string resulttag = "<a href=\"" + item.HrefSrc + "\">" + item.HrefTitle + "</a><br />";
Response.Write(resulttag);
//Response.Write(item.HrefTitle + "|" + item.HrefSrc + "<br />");
}
}
else
{
Response.Write("没有找到相关内容<br />");
}
}