Fast Algorithms for Mining Association Rules in Large Databases
VLDB '94 Proceedings of the 20th International Conference on Very Large Data Bases
Mining product reputations on the Web
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
Mining newsgroups using networks arising from social behavior
WWW '03 Proceedings of the 12th international conference on World Wide Web
ICDM '03 Proceedings of the Third IEEE International Conference on Data Mining
How to build a WebFountain: An architecture for very large-scale text analytics
IBM Systems Journal
Taxonomy-driven computation of product recommendations
Proceedings of the thirteenth ACM international conference on Information and knowledge management
Improving recommendation lists through topic diversification
WWW '05 Proceedings of the 14th international conference on World Wide Web
Deriving marketing intelligence from online discussion
Proceedings of the eleventh ACM SIGKDD international conference on Knowledge discovery in data mining
A language model approach to keyphrase extraction
MWE '03 Proceedings of the ACL 2003 workshop on Multiword expressions: analysis, acquisition and treatment - Volume 18
Automatic computation of semantic proximity using taxonomic knowledge
CIKM '06 Proceedings of the 15th ACM international conference on Information and knowledge management
Pulse: mining customer opinions from free text
IDA'05 Proceedings of the 6th international conference on Advances in Intelligent Data Analysis
WI-IAT '08 Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Volume 01
Distilling Informative Content from HTML News Pages
WI-IAT '09 Proceedings of the 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Volume 01
Identifying helpful reviews based on customer's mentions about experiences
Expert Systems with Applications: An International Journal
Information Retrieval on the Blogosphere
Foundations and Trends in Information Retrieval
| Hi-index | 0.00 |
The ever-increasing growth of the Web as principal provider of news and opinions makes it impossible for individuals to manually spot and analyze all information of particular importance for global large-scale corporations. Hence, automated means, identifying upcoming topics of utter relevance and monitoring the reputation of a brand as well as its competitors, are becoming indispensable. In this paper, we present a platform for analyzing Web data for such purposes, adopting different semantic perspectives and providing the market analyst with a flexible suite of instruments. We focus on two of these tools and outline their particular utility for research and exploration.