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情感词汇的计算机辅助分析

Computer-assisted Analysis of Emotion Words

【作者】 靳丽莹

【导师】 夏廷德;

【作者基本信息】 大连海事大学 , 外国语言学及应用语言学, 2001, 硕士

【摘要】 本文旨在帮助把英语作为第二语言或外语的人们系统而深入地掌握一定数量的人类情感词汇,为教材编纂者根据不同的教学目标和教学内容选择恰当的人类情感词提供参考。并初步探讨相关的语言学理论在情感语义场中的实际应用。 本文运用语言学的相关理论和现代统计学的研究方法对人类情感词做了定性和定量研究,最后得出结论:语言学的相关理论被应用在人类情感词的研究时各有千秋;总体上人类情感词在现代小说库(MFC)中的分布与其在新闻英语(LOBA和BROWNA),轮机英语(MEE),航海英语(NEC)等六个数据库中的分布有显著区别:把人类情感词组成的语义场进一步分类划分成次语义场后,这些次语义场中的人类情感词在数据库里的分布有所不同;在每个数据库里50个高频词的词源和应用范围各有特点。

【Abstract】 This thesis is written to help people whose second language or foreign language is English to understand a number of human emotion words systematically and profoundly, to provide textbook compilers some references to emotion word selection according to different teaching objects and contents and to probe the application of relating linguistic theories in the study of emotion field.In this thesis relating linguistic theories and modern statistic research methods are utilized to study emotion words quantitatively and qualitatively. It is concluded that the relating linguistic theories have their own advantages and limitations in the study of emotion field and emotion words; the distributions of human emotion words are significantly different between MFC and the other six corpora; human emotion field can be classified further into several sub-fields, in which the distributions of emotion words are of characteristics between MFC and the other six corpora; 50 words of top frequency in each corpus feature in their origins and ranges.

【关键词】 人类情感词数据库分布语义场次语义场
【Key words】 Emotion WordsCorpusDistributionSemantic FieldSub-field
  • 【分类号】H313
  • 【下载频次】163
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