Opinion Extraction based on Syntactic Pieces
Opinion Extraction based on Syntactic Pieces
复制标题
基于句法片段的意见提取
DOI：
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发表时间：
2007
期刊：
影响因子：
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通讯作者：
Kazuhide Yamamoto
中科院分区：
文献类型：
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作者：
Suguru Aoki;Kazuhide Yamamoto
本文解决了从给定文档中提取意见及其正面/负面分类的任务。我们提出了一种使用句法片段概念的句子分类方法。句法块是结构的最小单位，被用作n-gram和整个树结构的替代处理单位。我们计算其语义取向，并将意见句子分为正面或负面。我们对多个领域的 5000 多个意见句子进行了实验，并证明我们的方法能够以 91% 的精度实现高性能。
This paper addresses a task of opinion extraction from given documents and its positive/negative classification. We propose a sentence classification method using a notion of syntactic piece. Syntactic piece is a minimum unit of structure, and is used as an alternative processing unit of n-gram and whole tree structure. We compute its semantic orientation, and classify opinion sentences into positive or negative. We have conducted an experiment on more than 5000 opinion sentences of multiple domains, and have proven that our approach attains high performance at 91% precision.