通过分析和过滤Twitter数据对流感爆发进行分类

2017 12th International Conference for Internet Technology and Secured Transactions (ICITST) Pub Date : 2017-12-01 DOI:10.23919/ICITST.2017.8356381

Elizabeth Healy, Husna Siddiqui, Aspen Olmsted

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引用次数: 0

摘要

本文使用twitter流媒体和过滤技术来实时确定流感最流行的城市。Twitter流API用于收集数据并使用关键字和位置进行过滤。我们的研究结果表明，人口越稠密的城市，流感病例越多。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Classifying influenza outbreaks by analyzing and filtering Twitter data

This paper uses twitter streaming and filtering techniques to determine which cities the flu is most prevalent in real time. The Twitter streaming API was used to collect data and filter using keywords and location. Our results show that more heavily populated cities have more cases of the flu.

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2017 12th International Conference for Internet Technology and Secured Transactions (ICITST)

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