Intelligence and Security Informatics

Hutchison, David; Kanade, Takeo; Kittler, Josef

doi:10.1081/e-elis3-120043514

Cited by 2 publications

(3 citation statements)

References 1 publication

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“…BioPortal is another biosurveillance system that provides a flexible and scalable infectious disease information sharing (across species and jurisdictions), alerting, analysis, and visualization platform (Chen & Xu, 2006;Zeng, Chen, Tseng, Larson, Eidson, Gotham, et al, 2005). The system supports interactive, dynamic spatial-temporal analysis of epidemiological, textual, and sequence data (Chen & Xu, 2006;Thurmond, 2006;Zeng, Chen, Tseng, Chang, Eidson, Gotham, et al, 2005).…”

Section: Summary Of Nationwide Syndromic Surveillance Systemsmentioning

confidence: 98%

“…The system supports interactive, dynamic spatial-temporal analysis of epidemiological, textual, and sequence data (Chen & Xu, 2006;Thurmond, 2006;Zeng, Chen, Tseng, Chang, Eidson, Gotham, et al, 2005). BioPortal makes available a sophisticated spatial-temporal visualization environment to help present public health case reports and analysis results.…”

Section: Summary Of Nationwide Syndromic Surveillance Systemsmentioning

confidence: 99%

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Syndromic surveillance systems

Yan

Chen

Zeng

2008

Annual Review Info Sci & Tec

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Section: Summary Of Nationwide Syndromic Surveillance Systemsmentioning

confidence: 98%

Section: Summary Of Nationwide Syndromic Surveillance Systemsmentioning

confidence: 99%

Syndromic surveillance systems

Yan

Chen

Zeng

2008

Annual Review Info Sci & Tec

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“…It is important for government and anti-terrorist organizations to analyze such online information in order to enhance national and international security. Previous research has reported on how to collect and analyze relevant documents from the Internet (e.g., Web pages, blogs, newsgroup postings) in English and it has been shown possible to extract extremist or terrorist information and their relationships from these documents (Chen & Xu, 2006;Chau & Xu, 2007). However, little work has been done in the analysis of extremist or terrorist related Web documents in Chinese.…”

Section: Introductionmentioning

confidence: 99%

Chinese Word Segmentation for Terrorism-Related Contents

Zeng

Wei

Chau

et al. 2008

Intelligence and Security Informatics

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Abstract. In order to analyze security and terrorism related content in Chinese, it is important to perform word segmentation on Chinese documents. There are many previous studies on Chinese word segmentation. The two major approaches are statistic-based and dictionary-based approaches. The pure statistic methods have lower precision, while the pure dictionary-based method cannot deal with new words and are restricted to the coverage of the dictionary. In this paper, we propose a hybrid method that avoids the limitations of both approaches. Through the use of suffix tree and mutual information (MI) with the dictionary, our segmenter, called IASeg, achieves a high accuracy in word segmentation when domain training is available. It can identify new words through MI-based token merging and dictionary update. In addition, with the Improved Bigram method it can also process N-grams. To evaluate the performance of our segmenter, we compare it with the Hylanda segmenter and the ICTCLAS segmenter using a terrorism-related corpus. The experiment results show that IASeg performs better than the two benchmarks in both precision and recall.

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Intelligence and Security Informatics

Cited by 2 publications

References 1 publication

Syndromic surveillance systems

Syndromic surveillance systems

Chinese Word Segmentation for Terrorism-Related Contents

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