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Table of contents
1 Text mining for animal health epidemic intelligence: stakes and limits
1 Animal disease surveillance context
1.1 Stakes and limits of traditional surveillance
1.2 Novel sources of health surveillance information
1.3 Epidemic intelligence process
2 Indicator-based and event-based surveillance systems in animal health
2.1 International indicator-based surveillance systems
2.2 Event-based surveillance systems
2.3 Epidemiological information within the EI process
3 Online news sources for event-based surveillance
3.1 Animal health information newsworthiness
3.2 Structural features of online news
3.3 Challenges in describing and comparing EBS pipelines
4 Approaches, stakes and limit of text-mining methods
4.1 Document level
4.2 Entity level
2 Epidemic intelligence and information retrieval
1 Elaboration of a new framework for ne-grained epidemiological annotation
1.1 Motivation and context of framework elaboration
1.2 Methods
1.3 Results
1.4 Discussion
2 Retrieval of ne-grained epidemiological information
2.1 Corpus
2.2 Supervised classication
2.3 Lexicosyntactic pattern-based approach
3 General discussion
3 Event extraction from news articles 79
1 Information extraction in PADI-web pipeline
2 Event extraction: a statistical approach
2.1 Statistical approach
2.2 Corpus and evaluation
2.3 Results
2.4 Discussion
3 Event extraction: lexicosyntactical approach
3.1 Lexicosemantic representation approach
3.2 Evaluation
3.3 Results and discussion
4 Using epidemiological features to improve information retrieval
1 Proposed approach
1.1 Morpho-syntactic features
1.2 Lexicosemantic features
2 Corpus and evaluation
2.1 Corpus
2.2 Evaluation protocol
3 Results
3.1 Morphosyntactic features
3.2 Lexicosemantic features
4 Discussion
5 Integration of event-based surveillance systems into epidemic intelligence activities – Case studies
1 Dissemination of information in event-based surveillance
1.1 Methods
1.2 Preliminary results and discussion
1.3 Prospects
2 Early detection of unknown diseases by event-based surveillance systems
2.1 Context of the study
2.2 Material and methods
2.3 Results and discussion
6 Major contributions and perspectives
1 Summary of the main contributions
2 Perspectives of text mining in epidemic intelligence
2.1 Retrieval of ne-grained epidemiological information
2.2 Event detection
2.3 Retrieval of related documents
2.4 Role of the expert
2.5 Detection of weak signals
3 Perspectives of the event-based surveillance systems
3.1 Information dissemination between sources
3.2 Enhancing One Health surveillance through cross-sectorial collaboration
3.3 Event-based surveillance systems in developing countries
3.4 Monitoring of online news through news aggregators
4 Conclusion
