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基于微博的交通事件提取与文本分析系统 被引量:6

Extraction and Analysis System of Traffic Incident Based on Microblog
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摘要 近年来,受到公众广泛欢迎的微博,不仅是人们良好的社交工具,而其所蕴含的大量数据,在如今大数据时代也很有价值。针对节假日期间,公众可能在微博上发表的有关交通流、交通事件等信息,开发了1套基于微博的节假日突发交通事件提取与分析系统,旨在高效抓取并提取出交通主题相关微博,以利于分析交通状况,评估交通参与人的情感状态等。 For the past few years,the microblog,which has always been popular with the public,has been not only agreat social communication tool,but also extremely resourceful in the age of Big Data because of its large amount of available information.Considering the information such as traffic incidents and traffic conditions that the public may publish during holidays,an extraction and analysis system of traffic incident in holidays based on microblog has been developed.The system,which aims to efficiently reach a large number of people and extract information concerning the traffic status,could be used to analyze transportation system operation and assess the emotional state of traffic participants.
出处 《交通信息与安全》 2013年第6期132-135,共4页 Journal of Transport Information and Safety
基金 NSEC重大研究计划项目(批准号:90924002) 973课题(批准号:2012CB725405) 清华大学自主科研计划项目(批准号:2011THZ0)资助
关键词 微博 众包数据 交通事件 自然语言处理 文本 支持向量机 microblog crowd sourcing data traffic incident natural language processing(NLP) text support vector machine(SVM)
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参考文献10

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