public JiebaTokenizer(TextReader input, TokenizerMode mode)
: base(AttributeFactory.DEFAULT_ATTRIBUTE_FACTORY, input)
{
_segment = new JiebaSegment();
_mode = mode;
LoadStopWords();
Init();
}
public TextRankExtractor()
{
Span = 5;
Segment = new JiebaSegment();
PosSegmenter = new PosSegmenter(Segment);
SetStopWords(ConfigManager.StopWordsFile);
if (StopWords.IsEmpty())
{
StopWords.UnionWith(DefaultStopWords);
}
}
public void TestNewCut()
{
var segmenter = new JiebaSegment();
var wordInfos = segmenter.Cut2("推荐系统终于发布了最终的版本，点击率蹭蹭上涨");
Assert.Equal(wordInfos.ElementAt(0).position, 0);
for (int i = 1; i < wordInfos.Count(); i++)
{
Assert.Equal(wordInfos.ElementAt(i).position,
wordInfos.ElementAt(i - 1).position + wordInfos.ElementAt(i - 1).value.Length);
}
}
public void TestCut()
{
var jiebaSegment = new JiebaSegment();
var segments = jiebaSegment.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 = jiebaSegment.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 = jiebaSegment.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 = jiebaSegment.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 = jiebaSegment.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 = jiebaSegment.Cut("快奔三", false, false);
resultWords = new List <string> {
"快", "奔三"
};
Compared(segments, resultWords);
}
public TfidfExtractor(JiebaSegment segment = null)
{
if (segment.IsNull())
{
Segment = new JiebaSegment();
}
else
{
Segment = segment;
}
PosSegmenter = new PosSegmenter(Segment);
SetStopWords(ConfigManager.StopWordsFile);
if (StopWords.IsEmpty())
{
StopWords.UnionWith(DefaultStopWords);
}
Loader = new IdfLoader(DefaultIdfFile);
IdfFreq = Loader.IdfFreq;
MedianIdf = Loader.MedianIdf;
}
public PosSegmenter(JiebaSegment segment)
{
_segment = segment;
}
public PosSegmenter()
{
_segment = new JiebaSegment();
}
