Pair Extraction of Aspect and Implicit Opinion Word based on its Co-occurrence in Corpus of Bahasa Indonesia

Yuliana Setiowati, A. Djunaidy, D. Siahaan
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引用次数: 4

Abstract

In implicit opinion sentences containing implicit opinions, the use of traditional dictionary-based method is no longer effective, since there is no any opinion word serving as a clue to identify the sentiment value. This study proposes an approach to obtain pairs of aspect and opinion word from sentences containing implicit opinion. Two methods are developed this approach. The first method serves to separate clauses from a compound implicit opinion sentence and refine its corresponding parse-tree from clauses as a result of the separation. The second method determines the opinion word from the implicit opinion clause. This method uses co-occurrence of aspect and opinion word based on a corpus of explicit opinion sentences. In this study, an initial experiment was conducted using a data set containing 30 implicit opinion sentences with 76 clauses. The proposed approach is capable of detecting pairs of aspect and opinion from the given corpus of Bahasa Indonesia.
印尼语语料库中基于共现的词体与隐式意见词的配对提取
在包含隐式意见的隐式意见句中,由于没有意见词作为识别情感值的线索,使用传统的基于词典的方法已经不再有效。本研究提出了一种从含有内隐意见的句子中提取方面词和意见词对的方法。采用这种方法开发了两种方法。第一种方法是从复合隐式意见句中分离分句,并从分句中提炼出相应的解析树。第二种方法是从隐含意见子句中确定意见词。该方法利用基于显性意见句语料库的方面词和意见词共现。在本研究中,使用包含30个隐含意见句和76个分句的数据集进行了初步实验。所提出的方法能够从给定的印尼语语料库中检测成对的方面和意见。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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