Authoritative sources in a hyperlinked environment
Proceedings of the ninth annual ACM-SIAM symposium on Discrete algorithms
X-means: Extending K-means with Efficient Estimation of the Number of Clusters
ICML '00 Proceedings of the Seventeenth International Conference on Machine Learning
Document clustering based on non-negative matrix factorization
Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval
On the Bursty Evolution of Blogspace
World Wide Web
Introduction to Information Retrieval
Introduction to Information Retrieval
Identifying and Analysing Germany's Top Blogs
KI '08 Proceedings of the 31st annual German conference on Advances in Artificial Intelligence
Discovering emerging topics in unlabelled text collections
ADBIS'06 Proceedings of the 10th East European conference on Advances in Databases and Information Systems
Topic-based recommendations for enterprise 2.0 resource sharing platforms
KES'11 Proceedings of the 15th international conference on Knowledge-based and intelligent information and engineering systems - Volume Part I
Information Retrieval on the Blogosphere
Foundations and Trends in Information Retrieval
The Retrieval of Important News Stories by Influence Propagation among Communities and Categories
WI-IAT '12 Proceedings of the The 2012 IEEE/WIC/ACM International Joint Conferences on Web Intelligence and Intelligent Agent Technology - Volume 01
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Staying tuned to the trends and opinions in a certain domain is an important task in many areas. E. g., market researchers want to know about the acceptance of products. Traditionally this is done by screening broadcast media, but in recent years social media like the blogosphere have gained more and more importance. As manual screening of the blogosphere is a tedious task, automated knowledge discovery techniques for trend analysis and topic detection are needed. Our system "Social Media Miner" supports professionals in these tasks. The system aggregates relevant blog articles in a specified domain from blog search services, analyzes their link structure and their importance, provides an overview of the most active topics and identifies general trends in the area. For every topic it gives the analyst access to the most relevant articles. Experiments show that our system achieves a high degree of sound automated processing.