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计算机工程

• 人工智能及识别技术 • 上一篇    下一篇

面向中文产品评论的完整评价对象抽取方法

杨凤芹1,2,宋美佳3,孙铁利1,2,孙红光1,2   

  1. (1.东北师范大学 计算机科学与信息技术学院,长春 130117; 2.智能信息处理吉林省高校重点实验室,长春 130117; 3.国网吉林省电力有限公司信息通信公司,长春 130021)
  • 收稿日期:2016-04-01 出版日期:2017-06-15 发布日期:2017-06-15
  • 作者简介:杨凤芹(1978—),女,讲师,主研方向为文本情感分析、机器学习;宋美佳,硕士研究生;孙铁利(通信作者),教授、博士生导师;孙红光,副教授。
  • 基金资助:
    吉林省发改委项目([2013]779,2015Y56);吉林省科技厅项目(20130206041GX);长春市科技局项目(14KP009)。

Integrated Opinion Target Extraction Method for Chinese Product Reviews

YANG Fengqin 1,2,SONG Meijia 3,SUN Tieli 1,2,SUN Hongguang 1,2   

  1. (1.School of Computer Science and Information Technology,Northeast Normal University,Changchun 130117,China;2.Key Laboratory of Intelligent Information Processing of Jilin Universities,Changchun 130117,China;3.Information Communication Company,State Grid Jilinsheng Electric Power Supply Company,Changchun 130021,China)
  • Received:2016-04-01 Online:2017-06-15 Published:2017-06-15

摘要: 传统评价对象抽取方法较少考虑低频、结构复杂和信息量较大的评价对象。为此,针对中文产品评论提出一种完整评价对象抽取方法。利用词性和语法分析结果提取基础词单元,通过每个词单元的完整值和缺失值对其进行扩展,根据连接稳定性判断扩展后的词单元是否合理,得到候选评价对象集合,采用过滤策略对候选评价对象集合进行过滤,获得最终的评价对象集合。在真实数据集上的实验结果表明,该方法对包含低频和分词结构复杂的评价对象有较好的抽取效果。

关键词: 评价对象, 完整性, 词性模式, 缺失性, 中文产品评论

Abstract: Traditional opinion target extraction methods ignore the opinion targets with low frequency,complicated structures and large amount of information.Aiming at this problem,an integrated opinion target extraction method for Chinese product reviews is proposed.A basic word unit set is obtained according to part-of-speech and syntax,and it is extended based on its integrity value and deficiency value.A concatenation stability rule is applied to decide whether the extension is reasonable.After above processing,a candidate opinion target set is obtained.The final opinion target set is the result after some unreasonable candidate opinion targets are filtered from the candidate set by filtering strategies.The experimental results on real data sets show that the proposed method works well for the opinion targets with low frequency and complicated structures.

Key words: opinion target, integrity, part-of-speech pattern, deficiency, Chinese product reviews

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