网络新闻用户评论观点抽取研究
关键词 网络新闻评论，观点抽取，极性词，主题识别，网络舆情
毕业论文外文摘要
Title Research on the Extraction of Online news Users’ Comments
Abstract
As a combination product of new media and news comment, online news comments gained rapid development in this era of globalization. Internet media having its unique features, is called "fourth medium" following the newspapers, radio, television and other media. Online news comments have high degree of openness and interactivity. Online news comments play an increasingly important role in the media guide and news media spreading, but it also has negative impact. So it very important to control the negative impact. This paper reviews the concept of online news comments, through data analysis and the method of comparison, combined with specific empirical analysis, expounding the research on extraction of online news comments. This paper is pided into four parts, the first part introduces the background, significance, research status and describing the basic research ideas and techniques in this article. The second part briefly reviews the concept of online news comments,.It introduce the concepts of online news and online news comments, including the concepts and characteristics of online news, the concepts ,characteristics and classifications of online news comments,. The third part is to introduce the research on extraction of online news comments, views based on theme identification. And it introduces the methods of theme identification. The last part is empirical analysis, using of the actual data of online news comment to analysis statistics, than drawing the conclusions.
Keywords Online news comments , Opinion Mining, Polar Word, Theme Identification, Network Public Opinion
目次
1 引言 1
1.1 研究背景 1
1.2研究意义 1
2 网络新闻评论概述 2
2.1 新闻评论的分类 2
2.2 网络新闻评论 3
2.3 网络新闻评论的价值 4
3 基于主题识别的网络新闻评论观点抽取 5
3.1 观点抽取概念 5
3.2 文本预处理 6
3.3 情感分析 8
3.4 基于LDA模型的主题识别 10
3.5 观点发现 12
4 网络新闻评论观点抽取实证分析 15
4.1 观点抽取系统设计 15
4.2 事例分析结果 18
结论 25
致谢 27
参考文献 28
1 引言
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