self complement of Sentence Similarity compute based on cilin, hownet, simhash, wordvector,vsm models，基于同义词词林，知网，指纹，字词向量，向量空间模型的句子相似度计算。
(361 stars) (86 forks) (0 indexed issues) (0 open good first issues)
Repositories
liuhuanyong repositories
Self complemented sentiment words expansion using seed sentiment words and so-pmi , this method is tested to be effective， 基于情感种子词与so-pmi算法的情感词扩展.
(87 stars) (32 forks) (0 indexed issues) (0 open good first issues)
Seq2seqAttGeneration, an basic implementation of text generation that using seq2seq attention model to generate poem series. this project is based on Keras, can be used as a toturial
(18 stars) (3 forks) (0 indexed issues) (0 open good first issues)
KerasSeq2seqGeneration, an basic implementation of text generation that using seq2seq model to generate poem series. this project is based on Keras, can be used as a toturial
(9 stars) (1 fork) (0 indexed issues) (0 open good first issues)
Translation model based on sequence to sequence model. 基于seq2seq模型的翻译模型demo
(17 stars) (8 forks) (0 indexed issues) (0 open good first issues)
Sequential Event Experiment based on Travel note crawled from XieCheng，基于50W携程出行游记的采集与顺承事件图谱构建．
(188 stars) (57 forks) (0 indexed issues) (0 open good first issues)
SiameseSentenceSimilarity,个人实现的基于Siamese bilstm模型的相似句子判定模型,提供训练数据集和测试数据集.
(271 stars) (77 forks) (0 indexed issues) (0 open good first issues)
SinglepassTextCluster, an TextCluster tools based on Singlepass cluster algorithm that use tfidf vector and doc2vec，which can be used for individual real-time corpus cluster task。基于single-pass算法思想的自动文本聚类小组件，内置tfidf和doc2vec两种文本向量方法，可自动输出聚类数目、类簇文档集合和簇类大小，用于自有实时数据的聚类任务。
(65 stars) (6 forks) (0 indexed issues) (0 open good first issues)
worddict crawler and transfer for sougpuinput wordict , 搜狗输入法词库抓取与格式转换
(27 stars) (16 forks) (0 indexed issues) (0 open good first issues)
Self complemented text feature extraction using algorithms including CHI, DF, IG, MI for the experiment of text classification based on sogou online news， 基于卡方检验CHI，文档频率DF, 信息增益IG，互信息MI的文本特征提取与实现
(49 stars) (25 forks) (0 indexed issues) (0 open good first issues)
liuhuanyong/TextGrapherPython
Text Content Grapher based on keyinfo extraction by NLP method。输入一篇文档，将文档进行关键信息提取，进行结构化，并最终组织成图谱组织形式，形成对文章语义信息的图谱化展示。
(1,468 stars) (361 forks) (0 indexed issues) (0 open good first issues)
liuhuanyong/TopicClusterPython
A simple documentary topic analysis implement based on traditional K-means and LDA which can achieve a not-bad result. 基于Kmeans与Lda模型的多文档主题聚类,输入多篇文档,输出每个主题的关键词与相应文本,可用于主题发现与热点分析等应用，如历时话题建模，评论画像等。
(246 stars) (71 forks) (0 indexed issues) (0 open good first issues)
self complemented WeiboIndexSpyder based on Selenium ，新浪微博指数(微指数)采集，包括综合指数，移动端指数，PC端指数
(31 stars) (11 forks) (0 indexed issues) (0 open good first issues)
liuhuanyong/Word2VectorPython
Self complemented word embedding methods using CBOW，skip-Gram，word2doc matrix , word2word matrix ,基于CBOW、skip-gram、词-文档矩阵、词-词矩阵四种方法的词向量生成
(187 stars) (75 forks) (0 indexed issues) (0 open good first issues)
Self complemented Word Collocation using MI method which is tested to be effective..基于互信息算法的词语搭配抽取
(28 stars) (16 forks) (0 indexed issues) (0 open good first issues)
WordMultiSenseDisambiguation, chinese multi-wordsense disambiguation based on online bake knowledge base and semantic embedding similarity compute,基于百科知识库的中文词语多词义/义项获取与特定句子词语语义消歧.
(130 stars) (52 forks) (0 indexed issues) (0 open good first issues)
liuhuanyong/WordSegmentPython
Chinese WordSegment based on algorithms including Maxmatch (forward, backward, bidirectional), HMM，N-gramm(max prob ngram, biward ngam) etc...中文分词算法的实现，包括最大向前匹配、最大向后匹配，最大双向匹配，ngram，HMM，及其性能对比
(101 stars) (45 forks) (0 indexed issues) (0 open good first issues)
ZhidaoChatbot, a chatbot that can be an expert on the common questions like why,how,when,who,what based on the online question-answer website，基于线上公开问答数据的知道类问答机器人demo，与检索方式不同，可以进行常规问题的问答，如为什么，怎么样，是什么等，基于该方式，可以作为问答机器人常识接口，也可以作为常识知识库构建
(43 stars) (24 forks) (0 indexed issues) (0 open good first issues)
Chinese Subjective Dectection based on subjective knowlegebase, 中文主观性计算。基于中文主观性知识库的句子主观性评定方法。
(59 stars) (26 forks) (0 indexed issues) (0 open good first issues)