摘要网络新闻评论作为新兴媒体和新闻评论相结合的产物，在这个信息传播的全球化时代获得了迅速的发展。互联网媒介拥有其独特的传播特点，而网络新闻通过互联网传播，这使得网络新闻评论有高度的开放性和交互性。网络新闻评论在舆论引导和新闻传播上起到了越来越重要的作用，但它也是一把双刃剑，如果不有效控制和引导，可能产生很大的负面影响，所以对网络新闻评论进行观点抽取并做舆论监督具有十分重要的作用。本文从网络新闻评论的概念出发，通过数据分析和例证对比的方法，结合具体的实证分析，系统的对网络新闻评论的观点抽取做出的阐述。本文分为四部分，前两部分分别介绍了选题背景、研究意义、基本概念；第三部分是介绍基于主题识别的网络新闻评论观点抽取。介绍网络新闻评论的基本方法主题识别，在此基础上讨论整个观点挖掘的模型设计，并介绍模型设计所包含的算法。第四部分进行实证分析，主要运用实际的网络新闻评论的事例数据进行统计分析，得出相关结论。26436
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 网络新闻用户评论观点抽取研究:http://www.youerw.com/jisuanji/lunwen_20627.html