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Event Extraction and Visualization for Obtaining Personal Experiences from Blogs

机译:事件提取和可视化,以从博客中获得个人经验

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摘要

Internet users write blogs related to their personal experience, daily news, and so on. Though we can obtain blogs about personal experience using search engines on the Web, the search engines also output blogs about other topics unrelated to personal experiences. Therefore, we need to take too much time to read all blogs for obtaining those about personal experiences. This paper proposes a support system for obtaining blogs about personal experience efficiently. The system extracts three keywords that denote place, object, and action from a blog. The three keywords describe an event that leads a person to write a blog about personal experience. The system expresses the event with three pictures related to the extracted keywords. The pictures help users to judge whether personal experiences are written in the blog or not. We experimented with the system, and verified that it supports users to obtain personal experiences efficiently.
机译:互联网用户撰写与他们的个人经历,每日新闻等有关的博客。尽管我们可以使用Web上的搜索引擎获得有关个人体验的博客,但是搜索引擎还会输出有关与个人体验无关的其他主题的博客。因此,我们需要花费太多时间阅读所有博客,以获得有关个人经历的博客。本文提出了一种用于有效获取有关个人经历的博客的支持系统。系统从博客中提取表示位置,对象和动作的三个关键字。这三个关键字描述了一个事件,该事件使一个人撰写有关个人经历的博客。系统使用与提取的关键字相关的三张图片来表示事件。这些图片可帮助用户判断个人经验是否写在博客中。我们对该系统进行了试验,并验证了该系统可支持用户有效地获得个人体验。

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