Understanding Sentiment of People from News Articles: Temporal Sentiment Analysis of Social Events
Understanding Sentiment of People from News Articles: Temporal Sentiment Analysis of Social Events
复制标题
DOI：
--
复制
发表时间：
2007
期刊：
影响因子：
--
通讯作者：
T. Fukuhara;Hiroshi Nakagawa;T. Nishida
中科院分区：
文献类型：
--
作者：
T. Fukuhara;Hiroshi Nakagawa;T. Nishida
提出了情感分析，可以分析具有时间戳的文本档案中的情感和主题的时间趋势。该方法接受带有时间戳的文本，例如博客和新闻文章，并生成两种图，即（1）显示与情感相关的主题的时间变化的主题图，以及（2）显示与主题相关的情感的时间变化的情感图。描述了将该方法应用于新闻文章所获得的示例结果。
sentiment analysis that analyzes temporal trends of sentiments and topics from a text archive that has timestamps is proposed. The method accepts texts with timestamp such as Weblog and news articles, and produces two kinds of graphs, i.e., (1) topic graph that shows temporal change of topics associated with a sentiment, and (2) sentiment graph that shows temporal change of sentiments associated with a topic. Sample results obtained by applying the method to news articles are described.