Mining association rules between sets of items in large databases
SIGMOD '93 Proceedings of the 1993 ACM SIGMOD international conference on Management of data
An algorithm for suffix stripping
Readings in information retrieval
The anatomy of a large-scale hypertextual Web search engine
WWW7 Proceedings of the seventh international conference on World Wide Web 7
Generic text summarization using relevance measure and latent semantic analysis
Proceedings of the 24th annual international ACM SIGIR conference on Research and development in information retrieval
X-means: Extending K-means with Efficient Estimation of the Number of Clusters
ICML '00 Proceedings of the Seventeenth International Conference on Machine Learning
A sentimental education: sentiment analysis using subjectivity summarization based on minimum cuts
ACL '04 Proceedings of the 42nd Annual Meeting on Association for Computational Linguistics
Mining comparative sentences and relations
AAAI'06 proceedings of the 21st national conference on Artificial intelligence - Volume 2
Knowledge and Information Systems
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The web, as a real mass medium, has become an invaluable data source for Information Extraction and Retrieval systems. Digital authoring is a relatively new style of communication, usually facilitated by computer networks and the Internet. We believe that the behavior of the people in cyberspace can be a representative of the real social behaviors and that this data can be employed to analyze the behavior of a society. In this paper we have used blogs as the main representative of this digital data. A system of blog analyzing, named Blogizer, has been designed to analyze these blogs. The system employs two specific measurements to determine the level of citizen engagement. The detailed analysis and the proof of concept case study provides promising results. Based on the obtained results, more than 70.52% of the topic assignments and 58.10% of the significance assignments were ascribed successfully.1