An improved algorithm of Chinese comments opinion mining based on adverbs

2016 7th IEEE International Conference on Software Engineering and Service Science (ICSESS) Pub Date : 2016-08-01 DOI:10.1109/ICSESS.2016.7883051

Lihong Dong, Weina Wang, Xiangyang She

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引用次数: 1

Abstract

The existing opinion mining method based on adverbs about Chinese comments has lower precision rate and recall rate. For this problem, this paper redefined the narrow opinion word, and proposed an improved algorithm of Chinese comments opinion mining based on adverbs: In the extraction process of the feature words and opinion words based on adverbs increased conjunctions and negative words judgment; Then using the Extended Version of Synonymy Thesaurus of information retrieval lab in university of Harbin technology to merge synonyms. And obtaining the final feature words and opinion words. Experiments proved the method in this paper is better than the existing method. In opinion words extraction work the recall rate increased by 10.45%, the precision rate increased by 5.11%, the value of F increased by 0.08. In feature words extraction work the recall rate increased by 6.61%, the precision rate increased by 1.73%, the value of F increased by 0.04; In synonyms merger work the recall rate increased by 19.08%, the precision rate increased by 21.96%, the value of F increased by 0.09.

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基于副词的中文评论意见挖掘改进算法

现有的基于副词的中文评论意见挖掘方法准确率和召回率较低。针对这一问题，本文对狭义意见词进行了重新定义，提出了一种基于副词的中文评论意见挖掘改进算法:在基于副词的特征词和意见词提取过程中增加了连词和否定词的判断;然后利用哈尔滨理工大学信息检索实验室的同义词词典扩展版对同义词进行合并。并得到最终的特征词和意见词。实验证明，本文方法优于现有方法。在意见词提取工作中，召回率提高了10.45%，准确率提高了5.11%，F值提高了0.08。在特征词提取工作中，召回率提高了6.61%，准确率提高了1.73%，F值提高了0.04;在同义词合并工作中，查全率提高19.08%，查准率提高21.96%，F值提高0.09。

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2016 7th IEEE International Conference on Software Engineering and Service Science (ICSESS)

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