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arXiv 1903.04748cs.IRcs.SI
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从Twitter语料库中提取本地化信息用于防洪

Extracting localized information from a Twitter corpus for flood prevention

Etienne Brangbour, Pierrick Bruneau, Stéphane Marchand-Maillet, Renaud Hostache, Patrick Matgen, Marco Chini, Thomas Tamisier

摘要:

在本文中,我们讨论了收集与热带风暴哈维,以及它的分析从空间和主题的角度。从空间的角度来看,我们的目标是得到一个第一次估计的质量和精度的地理信息收集语料库中的功能。从专题的角度来看,我们讨论了Twitter帖子的表示,和策略来处理最初未标记的语料库的推文。

英文摘要:

In this paper, we discuss the collection of a corpus associated to tropical storm Harvey, as well as its analysis from both spatial and topical perspectives. From the spatial perspective, our goal here is to get a first estimation of the quality and precision of the geographical information featured in the collected corpus. From a topical perspective, we discuss the representation of Twitter posts, and strategies to process an initially unlabeled corpus of tweets.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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