摘要
情感计算是目前人工智能领域的热门课题，而大规模的情感词汇本体的构造是准确完成文本情感识别的基础。本文首先根据目前情感分类发展的现状，确定情感分类体系，在此基础上综合现有的各种情感词汇资源构造情感词汇本体。在本体的知识获取过程中采用手工分类和自动获取相结合的方法填充词汇本体的框架。详细描述了词汇的情感类别、强度和极性等，并进一步统计了情感词汇的分布情况。
Affective computing has received more and more interests in the field of artificial intelligence. However, constructing the affeetive lexicon Ontology is the basis of textual affeetive computing. Firstly, the paper analyzes the status of the emotional classification, and then classification system is determined. Finally, affeetive lexicon ontology which synthesizes various resources is constructed. In the process of acquiring the knowledge, the framework of ontology is filled by the combination of manual classification and acquiring the intensity automatically. The paper describes emotional classification and lexieal intensity ete, and the distribution of affeetive lexicons.
出处
《情报学报》
CSSCI
北大核心
2008年第2期180-185,共6页
Journal of the China Society for Scientific and Technical Information
基金
国家自然科学基金资助项目（编号：60373095,60673039）和国家863高科技计划资助项目（编号：2006AA01Z151）.
关键词
情感计算
情感分类
互信息
本体
affective computing, emotional classification, mutual information, ontology
