step1 : install gensim step 2 :Corpora and Vector Spaces 将用字符串表示的文档转换为用id表示的文档向量: documents = [Human machine interface for lab abc computer applications, A survey of user opinion of computer system response time, The E
step1 : install gensim
step 2 :Corpora and Vector Spaces
将用字符串表示的文档转换为用id表示的文档向量:
documents = ["Human machine interface for lab abc computer applications", "A survey of user opinion of computer system response time", "The EPS user interface management system", "System and human system engineering testing of EPS", "Relation of user perceived response time to error measurement", <i>本文来源gaodai$ma#com搞$代*码网2</i> "The generation of random binary unordered trees", "The intersection graph of paths in trees", "Graph minors IV Widths of trees and well quasi ordering", "Graph minors A survey"]"""#use StemmedCountVectorizer to get stemmed without stop words corpusVectorizer = StemmedCountVectorizer# Vectorizer = CountVectorizervectorizer = Vectorizer(stop_words='english')vectorizer.fit_transform(documents)texts = vectorizer.get_feature_names()# print(texts)"""texts = [doc.lower().split() for doc in documents]# print(texts)dict = corpora.Dictionary(texts) #自建词典# print dict, dict.t【本文来自鸿网互联 (http://www.68idc.cn)】oken2id#通过dict将用字符串表示的文档转换为用id表示的文档向量corpus = [dict.doc2bow(text) for text in texts]print(corpus)
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转载请注明原文链接：topicmodel-LDA1
转载请注明原文链接：topicmodel-LDA1
