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从挖掘相关文章不同意见

Mining Diverse Views from Related Articles
课程网址: http://videolectures.net/diversiweb2011_pochampally_mdv/  
主讲教师: Ravali Pochampally
开课单位: 国际信息技术研究所
开课时间: 2011-04-22
课程语种: 英语
中文简介:
万维网允许在新闻活动、产品或任何话题上提供各种文章。要找到几千篇讨论特定主题的文章, 这样用户就很难快速处理信息。摘要浓缩了与某一主题相关的大量信息, 但没有对与该主题相关的问题进行界定。我们希望通过从与主题相关的文章集合中挖掘视图来提取与该主题相关的各种问题。视图是一组句子, 在内容上与之相关, 用于解决与主题相关的问题。我们提出了一个提取和排名的观点框架, 并进行了实验来评估该框架。
课程简介: The world wide web allows for diverse articles to be available on a news event, product or any topic. It is not impossible to find a few hundred articles that discuss a specific topic thus making it difficult for a user to quickly process the information. Summarization condenses huge volume of information related to a topic but does not provide a delineation of the issues pertaining to it. We want to extract the diverse issues pertaining to a topic by mining views from a collection of articles related to it. A view is a set of sentences, related in content, that address an issue relevant to a topic. We present a framework for extraction and ranking of views and have conducted experiments to evaluate the framework.
关 键 词: 计算机科学; Web挖掘; 意见
课程来源: 视频讲座网
最后编审: 2020-06-13:邬启凡(课程编辑志愿者)
阅读次数: 29