文件名称:OntologyLearning

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  • 其他小程序
  • 资源属性:
  • [Windows] [Linux] [Python] [源码]
  • 上传时间:
  • 2016-10-08
  • 文件大小:
  • 24.42mb
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  • 0次
  • 提 供 者:
  • Jig****
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本体学习相关研究

(1)ConcepLearing

从文本中学习本体概念,使用中科院NLPIR进行分词(也有jieba分词版本的),然后在根据统计(互信息/卡方值)和Topic Model(PLSA)的方法进行实验对比。

-Ontology learning research (1) ConcepLearing learning ontology concept the text, use the CAS NLPIR word segmentation (also jieba Word versions), then and Topic Model (PLSA) the method of experiment according to statistics (mutual information/chi-square value) Compared.
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下载文件列表





OntologyLearning\ConceptLearning\ConceptExtract.py

................\...............\Data\BIG2GBK.map

................\...............\....\BIG5.pdat

................\...............\....\BIG5.wordlist

................\...............\....\BiWord.big

................\...............\....\charset.type

................\...............\....\Configure.xml

................\...............\....\CoreDict.pdat

................\...............\....\CoreDict.pos

................\...............\....\CoreDict.unig

................\...............\....\FieldDict.pdat

................\...............\....\FieldDict.pos

................\...............\....\GBK.pdat

................\...............\....\GBK.wordlist

................\...............\....\GBK2BIG.map

................\...............\....\GBK2GBKC.map

................\...............\....\GBK2UTF.map

................\...............\....\GBKA.pdat

................\...............\....\GBKA.wordlist

................\...............\....\GBKA2UTF.map

................\...............\....\GBKC.pdat

................\...............\....\GBKC.wordlist

................\...............\....\GBKC2GBK.map

................\...............\....\GranDict.pdat

................\...............\....\GranDict.pos

................\...............\....\ICTPOS.map

................\...............\....\NewWord.lst

................\...............\....\NLPIR.ctx

................\...............\....\NLPIR.user

................\...............\....\NLPIR_First.map

................\...............\....\nr.ctx

................\...............\....\nr.fsa

................\...............\....\nr.role

................\...............\....\PKU.map

................\...............\....\PKU_First.map

................\...............\....\UserDict.pdat

................\...............\....\UTF2GBK.map

................\...............\....\UTF2GBKA.map

................\...............\....\UTF8.pdat

................\...............\....\UTF8.wordlist

................\...............\demo_nplir.py

................\...............\file\data\fenci.py

................\...............\....\....\souhu.txt

................\...............\....\....\tiyu\tiyu_fenci.txt

................\...............\....\....\tiyu.txt

................\...............\....\....\tiyu.txt_fenci

................\...............\....\....\tiyu.txt_fenci_1000

................\...............\....\....\tiyu.txt_fenci_500

................\...............\....\....\xinlang.txt

................\...............\....\....\yinyue\yinyue_fenci.txt

................\...............\....\....\yinyue.txt

................\...............\....\....\yinyue.txt_fenci

................\...............\....\....\yinyue.txt_fenci_1000

................\...............\....\....\yinyue.txt_fenci_500

................\...............\....\....\yinyuetai.txt

................\...............\....\jieba\answer

................\...............\....\.....\answer_200

................\...............\....\.....\CHI_PLSA_RES

................\...............\....\.....\chi_plsa_yinyue

................\...............\....\.....\CHI_RES

................\...............\....\.....\chi_yinyue

................\...............\....\.....\freq

................\...............\....\.....\freq_pos

................\...............\....\.....\MI_PLSA_RES

................\...............\....\.....\mi_plsa_yinyue

................\...............\....\.....\MI_RES

................\...............\....\.....\mi_yinyue

................\...............\....\.....\nag_words

................\...............\....\.....\PLSA_RES

................\...............\....\.....\plsa_yinyue

................\...............\....\nlpir\CHI_PLSA_RES

................\...............\....\.....\chi_plsa_yinyue

................\...............\....\.....\chi_yinyue

................\...............\....\.....\choose_words

................\...............\....\.....\MI_PLSA_CHI_RES

................\...............\....\.....\mi_plsa_chi_yinyue

................\...............\....\.....\MI_PL

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