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面向倾向性分析的基于词聚类的基准词选择方法*
引用本文:彭学仕,孙春华. 面向倾向性分析的基于词聚类的基准词选择方法*[J]. 计算机应用研究, 2011, 28(1): 114-116. DOI: 10.3969/j.issn.1001-3695.2011.01.031
作者姓名:彭学仕  孙春华
作者单位:合肥工业大学,管理学院,电子商务研究所,合肥,230009
基金项目:高等院校博士点基金资助项目(20090111110016);合肥工业大学科学研究发展基金资助项目(2010HGXJ0009)
摘    要:现有的基准词选择方法存在着随机性和主观性的缺陷,提出了一种基于词聚类的基准词的选择方法:从目标领域本体中选出一组初始种子词进行扩展,聚类得出二代种子词,对二代种子词再进行扩展、聚类,依次迭代直至得到最优的聚类种子词,并作为最终选取的基准词。实验结果表明该方法提取的基准词在词的情感倾向分类中具有较高的准确率。

关 键 词:基准词;词汇情感倾向;词的相似度;词的聚类;领域本体

Paradigm words selecting method based on word clustering for sentiments analysis
PENG Xue-shi,SUN Chun-hua. Paradigm words selecting method based on word clustering for sentiments analysis[J]. Application Research of Computers, 2011, 28(1): 114-116. DOI: 10.3969/j.issn.1001-3695.2011.01.031
Authors:PENG Xue-shi  SUN Chun-hua
Affiliation:PENG Xue-shi,SUN Chun-hua (Institute of Electronic Business,School of Management,Hefei University of Technology,Hefei 230009,China)
Abstract:This paper put forward a method of selecting paradigm words, which was based on the existing randomness and subjectivity issue.Firstly,it expanded words by a group of selected initial seed words;secondly,it obtained the second generation of seed words by means of hierarchical clustering.According to the similarity between two different expanded words, then it expanded and clustered the second generation seed words.At last it orderly iterated by same procedure to get the optimal clustering seed words as the final selected paradigm words.The experiment result indicates that the new method has a higher accuracy in selecting paradigm words while classifying the different emotional proclivities.
Keywords:paradigm word   word sentiment orientation   word similarity   word clustering   domain ontology
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