Paper Info
Title
Key-phrase based classification of public health web pages.
Abstract
This paper describes and evaluates the public health web pages classification model based on key phrase extraction and matching. Easily extendible both in terms of new classes as well as the new language this method proves to be a good solution for text classification faced with the total lack of training data. To evaluate the proposed solution we have used a small collection of public health related web pages created by a double blind manual classification. Our experiments have shown that by choosing the adequate threshold value the desired value for either precision or recall can be achieved.
Year
DOI
Venue
2013
10.3233/978-1-61499-289-9-1133
Studies in Health Technology and Informatics
Keywords
Field
DocType
Text classification,Key-phrase bootstrapping,Public health web pages
Public health,Data mining,Social media,Web page,Phrase,Public health informatics,Constructed language,Documentation,Medicine,Semantics
Conference
Volume
ISSN
Citations 
192
0926-9630
0
PageRank 
References 
Authors
0.34
2
2
Name
Order
Citations
PageRank
Ljiljana Dolamic112510.84
Célia Boyer26610.97