Extraction of polarity comments from Nico Nico Douga

Hiroki Sakaji, Junya Ishibuchi, Hiroyuki Sakai
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引用次数: 4

Abstract

In this paper, we propose two methods that extract polarity comments from Nico Nico Douga and analyse errors in these methods. For example, a positive comment is 'iine: good' and a negative comment is 'hetakuso: unskilled'. Online videos have become indispensable to people, with millions watching videos on video websites. Moreover, demand of video sites is increasing because internet election campaigns started in April 2013. We consider that polarity comments are useful for the analysis of internet election campaigns. Our methods achieved 99% and 65% precision for extracting positive and negative comments, respectively.
Nico Nico Douga极性评论的提取
本文提出了两种提取Nico Nico Douga极性注释的方法,并分析了这两种方法的误差。例如,正面评论是“line: good”,而负面评论是“hetakuso: unskilled”。在线视频已经成为人们不可或缺的一部分,数百万人在视频网站上观看视频。再加上从2013年4月开始的网络选举运动,对视频网站的需求正在增加。我们认为极性评论对于分析网路竞选活动是有用的。我们的方法对正面评论和负面评论的提取精度分别达到99%和65%。
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来源期刊
International Journal of Space-Based and Situated Computing
International Journal of Space-Based and Situated Computing COMPUTER SCIENCE, INFORMATION SYSTEMS-
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