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机构地区:[1]大连理工大学计算机科学与技术学院,大连116024
出 处:《计算机科学》2012年第10期203-208,共6页Computer Science
基 金:国家自然科学基金(60673039;60973068);国家社科基金(08BTQ025);教育部博士点基金(20090041110002)资助
摘 要:目前关于情感倾向性的研究均以语言内容为主要对象,然而民族的思维模式影响了语言的表达形式。通过对汉民族"图形式"、"具体性"、"散点视"的思维特点和西方民族"直线式"、"抽象性"、"聚点视"的思维特点进行对比研究,提出了基于中西思维模式的情感倾向性分析方法。针对"图形式"和"直线式"思维特点,给出了位置相关的量化方法;针对"具体性"和"抽象性"思维特点给出了基于词性和语法特征的分析方法;针对"散点视"和"聚点视"思维特点提出了基于视窗的分析方法。实验结果表明,在中英文语料中考虑各自的思维模式特点有助于提高情感倾向性识别的效果。Sentiment analysis is an important research domain of affective computing,and researchers focus on the context in this field.Because the thinking mode influences the formation of language,this paper researched and compared the Chinese thinking modes and western thinking modes.The former contains"spiral graphic mode","concreteness" and "scattered view",and the latter owns "straight line mode","abstractness" and "focus view".A position-related method was proposed to quantify the "spiral graphic mode" and"straight line mode",and then according to the "concreteness"and "abstractness",an approach was implemented based on part of speech and grammar.Finally a view-window method was applied to analyze the "scattered view" and "focus view".The experimental results show that the performance of sentiment analysis including the thinking mode factors is better than that not including.
分 类 号:TP391[自动化与计算机技术—计算机应用技术]
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