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首页> 外文会议>International Conference on Information Technology, Information Systems and Electrical Engineering >Aspect and Opinion Word Extraction on Opinion Sentences in Bahasa Indonesia using Rule Based Generated from Regular Expression
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Aspect and Opinion Word Extraction on Opinion Sentences in Bahasa Indonesia using Rule Based Generated from Regular Expression

机译：使用从正则表达式生成的基于规则的印尼语中的观点句子的方面和观点词提取

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摘要

Extracting aspects and opinion words is important in ABSA study. Generally, aspect extraction was conducted first then determining a pair of opinion words from the aspects. The process allows errors to occur. This study proposes an approach to obtain the appropriate pair of aspect and opinion words in opinion sentences using rule-based method generated from regular expressions. The strength of this process is that it enables to obtain a pair of aspects and opinion words simultaneously. Three methods are developed this approach (1) selection of aspect-based opinion sentences in user reviews, (2) extraction of candidate aspects and opinion words in aspect-based opinion sentences and (3) aspect categorization. This study enables to extract pairs of aspects and opinion words using rule-based aspects generated from regular expression. Determining valid aspects uses aspect extraction. Evaluation of aspect categorization shows the value of precision of 0.82, recall of 0.70 and f-measure of 0.75.
机译：在ABSA研究中，提取方面和意见词很重要。通常，首先进行方面提取，然后从方面确定一对意见词。该过程允许发生错误。这项研究提出了一种方法，该方法使用从正则表达式生成的基于规则的方法来获取观点句子中合适的方面和观点词对。此过程的优势在于，它可以同时获取一对方面和意见。开发了三种方法（1）用户评论中基于方面的观点句子的选择，（2）基于方面的观点句子中候选方面和观点词的提取以及（3）方面分类。这项研究能够使用从正则表达式生成的基于规则的方面来提取方面和观点词对。确定有效方面使用方面提取。方面分类的评估显示精度值为0.82，召回率为0.70，f度量值为0.75。

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