Machine Learning
GroupLens: applying collaborative filtering to Usenet news
Communications of the ACM
Lurker demographics: counting the silent
Proceedings of the SIGCHI conference on Human Factors in Computing Systems
Observed behavior and perceived value of authors in usenet newsgroups: bridging the gap
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Text Categorization with Suport Vector Machines: Learning with Many Relevant Features
ECML '98 Proceedings of the 10th European Conference on Machine Learning
Mining newsgroups using networks arising from social behavior
WWW '03 Proceedings of the 12th international conference on World Wide Web
Learning effective ranking functions for newsgroup search
Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval
Exploring the community structure of newsgroups
Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining
Combining Topic Models and Social Networks for Chat Data Mining
WI '04 Proceedings of the 2004 IEEE/WIC/ACM International Conference on Web Intelligence
Opinion observer: analyzing and comparing opinions on the Web
WWW '05 Proceedings of the 14th international conference on World Wide Web
Improving web search results using affinity graph
Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval
Deriving marketing intelligence from online discussion
Proceedings of the eleventh ACM SIGKDD international conference on Knowledge discovery in data mining
You Are Who You Talk To: Detecting Roles in Usenet Newsgroups
HICSS '06 Proceedings of the 39th Annual Hawaii International Conference on System Sciences - Volume 03
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
Invisible participants: how cultural capital relates to lurking behavior
Proceedings of the 15th international conference on World Wide Web
Friends, foes, and fringe: norms and structure in political discussion networks
dg.o '06 Proceedings of the 2006 international conference on Digital government research
Automatic scoring of online discussion posts
Proceedings of the 2nd ACM workshop on Information credibility on the web
Towards quality discourse in online news comments
Proceedings of the ACM 2011 conference on Computer supported cooperative work
Predicting thread discourse structure over technical web forums
EMNLP '11 Proceedings of the Conference on Empirical Methods in Natural Language Processing
Data Mining and Knowledge Discovery
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Improving the classification of newsgroup messages through social network analysis. In this paper, we focus on automatic classification of message replies into several types. For representing messages we consider rich feature sets that combine the standard author reply-to network properties with features derived from four additional structures identified in the data: 1) a network of authors who participate in the same threads, 2) network of authors who post similar content, 3) network of threads sharing common authors, and 4) network of content-related threads. For selected newsgroups we train linear SVM classifiers to identify agreement and disagreement with the original message, and question and answer patterns in the threads. We show that the use of newly defined features substantially improves classification of messages in comparison with the SVM model based only on the standard reply-to network.