检测微博中新闻文章的评论Detecting Comments on News Articles in Microblogs |
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课程网址: | https://videolectures.net/videos/icwsm2013_magdy_news_articles |
主讲教师: | Walid Magdy |
开课单位: | 信息不详。欢迎您在右侧留言补充。 |
开课时间: | 2014-04-03 |
课程语种: | 英语 |
中文简介: | 新闻文章的读者通常会对其他读者对文章的评论感兴趣,因为评论可以深入了解公众对给定新闻的看法或感受。近年来,Twitter 等社交媒体平台已成为用户交流和表达想法的社交中心。这包括分享新闻文章并对其进行评论。在本文中,我们提出了一种识别评论新闻文章的 “comment-tweets” 的方法。我们讨论了评论推文的性质,并将其与主观推文进行了比较。我们利用基于机器学习的分类方法来区分评论推文和其他仅报道新闻的推文。在对包含评论的推文应用额外的注释后,在 TREC-2011 微博跟踪数据上评估我们的方法。结果显示了我们的分类方法的有效性。此外,我们在实时新闻文章中展示了我们的方法的有效性。 |
课程简介: | A reader of a news article would often be interested in the comments of other readers on an article, because comments give insight into popular opinions or feelings toward a given piece of news. In recent years, social media platforms, such as Twitter, have become a social hub for users to communicate and express their thoughts. This includes sharing news articles and commenting on them. In this paper, we propose an approach for identifying “comment-tweets” that comment on news articles. We discuss the nature of comment-tweets and compare them to subjective tweets. We utilize a machine learning-based classification approach for distinguishing between comment-tweets and others that only report the news. Our approach is evaluated on the TREC-2011 Microblog track data after applying additional annotations to tweets containing comments. Results show the effectiveness of our classification approach. Furthermore, we demonstrate the effectiveness of our approach on live news articles. |
关 键 词: | 评论推文; 机器学习分类; 新闻文章评论 |
课程来源: | videolectures |
数据采集: | 2025-05-16:yuhongrui |
最后编审: | 2025-05-16:yuhongrui |
阅读次数: | 2 |