A smart itsy bitsy spider for the web
Journal of the American Society for Information Science - Special topic issue: artificial intelligence techniques for emerging information systems applications
Focused crawling: a new approach to topic-specific Web resource discovery
WWW '99 Proceedings of the eighth international conference on World Wide Web
Comparing noun phrasing techniques for use with medical digital library tools
Journal of the American Society for Information Science - Special topic issue on digital libraries: part 2
Adaptive Retrieval Agents: Internalizing Local Contextand Scaling up to the Web
Machine Learning - Special issue on information retrieval
Summarizing Similarities and Differences Among Related Documents
Information Retrieval
Machine learning in automated text categorization
ACM Computing Surveys (CSUR)
Text Categorization with Suport Vector Machines: Learning with Many Relevant Features
ECML '98 Proceedings of the 10th European Conference on Machine Learning
Feature Engineering for Text Classification
ICML '99 Proceedings of the Sixteenth International Conference on Machine Learning
Using Reinforcement Learning to Spider the Web Efficiently
ICML '99 Proceedings of the Sixteenth International Conference on Machine Learning
Correlation-based Feature Selection for Discrete and Numeric Class Machine Learning
ICML '00 Proceedings of the Seventeenth International Conference on Machine Learning
Performance issues and error analysis in an open-domain question answering system
ACM Transactions on Information Systems (TOIS)
MiTAP: A Case Study of Integrated Knowledge Discovery Tools
HICSS '03 Proceedings of the 36th Annual Hawaii International Conference on System Sciences (HICSS'03) - Track 3 - Volume 3
Benchmarking Attribute Selection Techniques for Discrete Class Data Mining
IEEE Transactions on Knowledge and Data Engineering
Event detection from online news documents for supporting environmental scanning
Decision Support Systems - Special issue: Knowledge management technique
MITRE: description of the Alembic system used for MUC-6
MUC6 '95 Proceedings of the 6th conference on Message understanding
Applying Authorship Analysis to Extremist-Group Web Forum Messages
IEEE Intelligent Systems
Learning to crawl: Comparing classification schemes
ACM Transactions on Information Systems (TOIS)
Journal of the American Society for Information Science and Technology
Thumbs up?: sentiment classification using machine learning techniques
EMNLP '02 Proceedings of the ACL-02 conference on Empirical methods in natural language processing - Volume 10
MITRE: description of the Alembic system as used in MET
TIPSTER '96 Proceedings of a workshop on held at Vienna, Virginia: May 6-8, 1996
Data Mining: Practical Machine Learning Tools and Techniques, Second Edition (Morgan Kaufmann Series in Data Management Systems)
Journal of the American Society for Information Science and Technology
A stack-based prospective spatio-temporal data analysis approach
Decision Support Systems
Syndromic surveillance systems
Annual Review of Information Science and Technology
System for Infectious Disease Information Sharing and Analysis: Design and Evaluation
IEEE Transactions on Information Technology in Biomedicine
Optimal Search-Based Gene Subset Selection for Gene Array Cancer Classification
IEEE Transactions on Information Technology in Biomedicine
On strategies for imbalanced text classification using SVM: A comparative study
Decision Support Systems
Using text mining and sentiment analysis for online forums hotspot detection and forecast
Decision Support Systems
An exploratory study of news article clustering for web-based bio-surveillance
Proceedings of the 1st ACM International Health Informatics Symposium
CybercrimeIR --- a technological perspective to fight cybercrime
PAISI'12 Proceedings of the 2012 Pacific Asia conference on Intelligence and Security Informatics
Vehicle defect discovery from social media
Decision Support Systems
Mining web data for epidemiological surveillance
PAKDD'12 Proceedings of the 2012 Pacific-Asia conference on Emerging Trends in Knowledge Discovery and Data Mining
What's buzzing in the blizzard of buzz? Automotive component isolation in social media postings
Decision Support Systems
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Syndromic surveillance can play an important role in protecting the public's health against infectious diseases. Infectious disease outbreaks can have a devastating effect on society as well as the economy, and global awareness is therefore critical to protecting against major outbreaks. By monitoring online news sources and developing an accurate news classification system for syndromic surveillance, public health personnel can be apprised of outbreaks and potential outbreak situations. In this study, we have developed a framework for automatic online news monitoring and classification for syndromic surveillance. The framework is unique and none of the techniques adopted in this study have been previously used in the context of syndromic surveillance on infectious diseases. In recent classification experiments, we compared the performance of different feature subsets on different machine learning algorithms. The results showed that the combined feature subsets including Bag of Words, Noun Phrases, and Named Entities features outperformed the Bag of Words feature subsets. Furthermore, feature selection improved the performance of feature subsets in online news classification. The highest classification performance was achieved when using SVM upon the selected combination feature subset.