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Disaster detecting system using social media

机译:使用社交媒体的灾害检测系统

摘要

The present invention relates to a system for detecting and preventing a disaster using information provided by users in a social media site such as Twitter, A data collecting and classifying unit 200 for detecting a disaster keyword in real time in a social media such as Twitter; A topic-specific document database 300 for classifying and storing articles in which disaster keywords are continuously classified according to topics; By analyzing the relevance between the disaster and the location information by extracting the location information on the articles collected based on the data of the topic-specific document database 300, analyzing the occurrence time of the text, (400); By measuring the frequency of occurrences for a predetermined period of time on the articles collected on the basis of the data of the topic-specific document database 300, comparing the preliminarily learned threshold value with the calculated value of the probability distribution of the past data, And a rising topic detector (500) for determining a disaster detection system using social media.
机译:本发明涉及一种利用用户在诸如Twitter的社交媒体站点上提供的信息来检测和预防灾难的系统。一种数据收集和分类单元200,用于在诸如Twitter的社交媒体中实时检测灾害关键词。用于分类和存储其中根据主题连续地对灾难关键词进行分类的文章的主题特定文档数据库300;通过基于主题特定文档数据库300的数据提取与收集的文章有关的位置信息来分析灾难与位置信息之间的相关性,分析文本的出现时间(400);通过测量基于特定主题文档数据库300的数据在预定时间段内收集到的商品的出现频率,将预先学习的阈值与过去数据的概率分布的计算值进行比较,以及用于确定使用社交媒体的灾难检测系统的上升话题检测器(500)。

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