An Investigation of Effectiveness of "Opinion" and "Fact" Sentences for Sentiment Analysis of Customer Reviews

Yuya Sawakoshi, M. Okada, Kiyota Hashimoto
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引用次数: 7

Abstract

Recently, a customer review of travel information website has been a big influence on users in accommodations by the spread of the internet. In our research, as preprocessing of picking out information from the reviews, we propose a method to classify sentences into "Opinion sentences" and "Fact sentences" using SVM. And we confirm effectiveness of "opinion sentences" to estimate values by classification reviews into Positive and Negative using SVM.
“意见”句和“事实”句在顾客评论情感分析中的有效性研究
最近,由于互联网的普及,旅游信息网站的客户评论对住宿用户产生了很大的影响。在我们的研究中,作为从评论中提取信息的预处理,我们提出了一种使用支持向量机将句子分为“意见句”和“事实句”的方法。并利用支持向量机将评论分类为Positive和Negative,验证了“意见句”对评价的有效性。
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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