计算机工程
計算機工程
계산궤공정
COMPUTER ENGINEERING
2013年
10期
221-226
,共6页
评价对象%意见挖掘%词性搭配%词性距离相关性算法%模式匹配%有效评价句
評價對象%意見挖掘%詞性搭配%詞性距離相關性算法%模式匹配%有效評價句
평개대상%의견알굴%사성탑배%사성거리상관성산법%모식필배%유효평개구
comment object%opinion mining%combination of Part of Speech(POS)%Part of Speech(POS)-distance Correlation Algorithm (PCA)%pattern matching%effective evaluation sentence
针对产品评论中评价对象的抽取问题，提出一种基于模式匹配与半监督学习的抽取方法。通过大量样本统计，获得种子规则集，以抽取有效评价句，利用句法结构组合以及词性距离相关性算法抽取评价对象，将种子规则和评价对象存入相应的模式库，并通过半监督学习方法与规则的动态替换，进行规则的学习与评价对象的扩充训练。实验结果表明，该方法的抽取效果较好，证明了方法的可行性。
針對產品評論中評價對象的抽取問題，提齣一種基于模式匹配與半鑑督學習的抽取方法。通過大量樣本統計，穫得種子規則集，以抽取有效評價句，利用句法結構組閤以及詞性距離相關性算法抽取評價對象，將種子規則和評價對象存入相應的模式庫，併通過半鑑督學習方法與規則的動態替換，進行規則的學習與評價對象的擴充訓練。實驗結果錶明，該方法的抽取效果較好，證明瞭方法的可行性。
침대산품평론중평개대상적추취문제，제출일충기우모식필배여반감독학습적추취방법。통과대량양본통계，획득충자규칙집，이추취유효평개구，이용구법결구조합이급사성거리상관성산법추취평개대상，장충자규칙화평개대상존입상응적모식고，병통과반감독학습방법여규칙적동태체환，진행규칙적학습여평개대상적확충훈련。실험결과표명，해방법적추취효과교호，증명료방법적가행성。
This paper presents an extraction method based on pattern matching and semi-supervised learning on product comment targets. This method gets seed rules set through making statistics on a large number samples to extract the effective evaluation sentences, and extracts accurate opinion targets through the combination of syntactic structures and the Part of Speech(POS)-distance Correlation Algorithm(PCA). Seed rules and opinion targets are stored in the corresponding pattern libraries, the training and expansion of the learning of rules and opinion targets is carried out by the semi-supervised learning methods and rules of dynamic replacement. Experimental results exhibit measurable improvement, and prove the feasibility of this method.
