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Collective Classification of Posts to Internet Forums

Authors: 

Padraig O Duinn, Derek Bridge

Publication Type: 
Refereed Conference Meeting Proceeding
Abstract: 
We investigate automatic classification of posts to Internet forums. We use collective classification methods, which simultaneously classify related objects — in our case, the posts in a thread. Specifically, we compare the Iterative Classification Algorithm (ICA) with Conditional Random Fields and with conventional classifiers (k-Nearest Neighbours and Support Vector Machines). The ICA algorithm invokes a local classifier, for which we use the kNN classifier. Our main contributions are two-fold. First, we define experimental protocols that we believe are suitable for offline evaluation in this domain. Second, by using these protocols to run experiments on two datasets, we show that ICA with kNN has significantly higher accuracy across most of the experimental conditions.
Conference Name: 
Twenty-second International Conference on Case-Based Reasoning (ICCBR 2014)
Proceedings: 
Twenty-second International Conference on Case-Based Reasoning (ICCBR 2014)
Digital Object Identifer (DOI): 
10.1007/978-3-319-11209-1_24
Publication Date: 
29/09/2014
Volume: 
Lecture Notes in Computer Science Volume 8765 2014
Pages: 
330-344
Conference Location: 
Ireland
Research Group: 
Institution: 
National University of Ireland, Cork (UCC)
Open access repository: 
No
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