NDLI: A transfer approach to detecting disease reporting events in blog social media

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A transfer approach to detecting disease reporting events in blog social media

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A transfer approach to detecting disease reporting events in blog social media

Content Provider	ACM Digital Library
Author	Stewart, Avaré Nejdl, Wolfgang Smith, Matthew
Abstract	Event-Based Epidemic Intelligence (e-EI) has arisen as a body of work which relies upon different forms of pattern recognition in order to detect the disease reporting events from unstructured text that is present on the Web. Current supervised approaches to e-EI suffer both from high initial and high maintenance costs, due to the need to manually label examples to train and update a classifier for detecting disease reporting events in dynamic information sources, such as blogs. In this paper, we propose a new method for the supervised detection of disease reporting events. We tackle the burden of manually labelling data and address the problems associated with building a supervised learner to classify frequently evolving, and variable blog content. We automatically classify outbreak reports to train a supervised learner, and the knowledge acquired from the learning process is then transferred to the task of classifying blogs. Our experiments show that with the automatic classification of training data, and the transfer approach, we achieve an overall precision of 92% and an accuracy of 78.20%.
Starting Page	271
Ending Page	280
Page Count	10
File Format	PDF
ISBN	9781450302562
DOI	10.1145/1995966.1996001
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2011-06-06
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Transfer learning Automatic labeling Epidemic intelligence
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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