为了有效利用汽车评论数据,参照已建立的汽车评价本体,从文本中抽取评价搭配对,提出基于五元组的对象评价度量,从而获取汽车评价模糊形式背景。在模糊形式背景中,定义了内涵模糊概念和内涵模糊概念格。设计了模糊形式背景和内涵模糊概念格构建算法,并以实例对如何基于内涵模糊概念格进行知识发现予以讨论。
Abstract
To utilize car comments efficiently, this paper extracts collocations from reviews texts, and proposes the 5-tupel based evaluation measurement of objects. With such built fuzzy formal context of car comments, we define intension fuzzy concept and intension fuzzy concept lattice. We design the algorithms for constructing a fuzzy formal context and an intension fuzzy concept lattice, and illustrate how to conduct knowledge discovery based on an intension fuzzy concept lattice with a real example.
关键词
汽车评价 /
知识发现 /
模糊形式概念分析 /
内涵模糊概念 /
模糊概念格
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Key words
car evaluation /
knowledge discovery /
fuzzy formal concept analysis /
intension fuzzy concept /
intension fuzzy concept lattice
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参考文献
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脚注
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基金
国家自然科学基金(61573231,61632011,61432011,61672331);山西省科技基础条件平台计划(2015091001-0102)
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