PADI-web: An Event-Based Surveillance System for Detecting, Classifying and Processing Online News

被引：2
作者：
Valentin, Sarah [1 ,2 ,3 ]
Arsevska, Elena [2 ,3 ]
Mercier, Alize [2 ,3 ]
Falala, Sylvain [2 ]
Rabatel, Julien [3 ]
Lancelot, Renaud [2 ,3 ]
Roche, Mathieu [1 ,3 ]
机构：
[1] Univ Montpellier, UMR TETIS, AgroParisTech, CIRAD,CNRS,INRAE, F-34398 Montpellier, France
[2] Univ Montpellier, UMR ASTRE, CIRAD, INRAE, F-34398 Montpellier, France
[3] CIRAD, Montpellier, France
来源：
HUMAN LANGUAGE TECHNOLOGY. CHALLENGES FOR COMPUTER SCIENCE AND LINGUISTICS, LTC 2017 | 2020年 / 12598卷
基金：
欧盟地平线“2020”;
关键词：
Epidemic intelligence; Animal health; Web monitoring; Text mining; Classification; Information extraction;
D O I：
10.1007/978-3-030-66527-2_7
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The Platform for Automated Extraction of Animal Disease Information from the Web (PADI-web) is a multilingual text mining tool for automatic detection, classification, and extraction of disease outbreak information from online news articles. PADI-web currently monitors the Web for nine animal infectious diseases and eight syndromes in five animal hosts. The classification module is based on a supervised machine learning approach to filter the relevant news with an overall accuracy of 0.94. The classification of relevant news between 5 topic categories (confirmed, suspected or unknown outbreak, preparedness and impact) obtained an overall accuracy of 0.75. In the first six months of its implementation (January-June 2016), PADI-web detected 73% of the outbreaks of African swine fever; 20% of foot-and-mouth disease; 13% of bluetongue, and 62% of highly pathogenic avian influenza. The information extraction module of PADI-web obtained F-scores of 0.80 for locations, 0.85 for dates, 0.95 for diseases, 0.95 for hosts, and 0.85 for case numbers. PADI-web allows complementary disease surveillance in the domain of animal health.
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收藏
页码：87 / 101
页数：15
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