...文本情感分类; 向量空间模型; K 均值聚类算法; 支持向量机; 信息增益; 互信息 [gap=1083]Key words: text sentiment classification; vector space model; K-means clustering ; support vector machine; information g..
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文本情感倾向分类 Text sentiment orientation classification
·2,447,543篇论文数据，部分数据来源于NoteExpress
提出了一种基于语言建模的文本情感分类的方法。
Presented in this paper is a language modeling approach to the sentiment classification of text.
本文利用三种特征选择方法、两种权重计算方法、五种停用词表以及支持向量机分类器对汽车语料的文本情感类别进行了研究。
The experiment results indicate that the greater text sentiment classification impact depends on other corpus, excluded adjective, verb, adverb as stop words and none stop words.
文本中涉及到情感分类的对象一般有词汇、句子、段落以及篇章。
Text classification of objects related to sentiment words, sentences, paragraphs and chapters.
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