Interactive visualization of news distribution in blog space
New Generation Computing
How valuable is medical social media data? Content analysis of the medical web
Information Sciences: an International Journal
QuestionHolic: Hot topic discovery and trend analysis in community question answering systems
Expert Systems with Applications: An International Journal
Clustering weblogs on the basis of a topic detection method
MCPR'10 Proceedings of the 2nd Mexican conference on Pattern recognition: Advances in pattern recognition
Topic correlation and individual influence analysis in online forums
Expert Systems with Applications: An International Journal
A time-varying propagation model of hot topic on BBS sites and Blog networks
Information Sciences: an International Journal
Topic word selection for blogs by topic richness using web search result clustering
Proceedings of the 6th International Conference on Ubiquitous Information Management and Communication
A time-based collective factorization for topic discovery and monitoring in news
Proceedings of the 23rd international conference on World wide web
Keyword extraction for blogs based on content richness
Journal of Information Science
Context-based microblog browsing for mobile users
Journal of Ambient Intelligence and Smart Environments - Context Awareness
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In this paper, we describe a method to detect topic words from blog documents. We define "topic words" as words frequently used by people who share the same interests. In this method, each blogger's interests are extracted from each blog site, and interest similarities between bloggers are calculated. Unusual words that are used by bloggers who have a high level of similarity are then extracted as topic words. We evaluated the precision of this method using blog documents, and the results show that the proposed method is superior (by 4.4 %) to the traditional TF-IDF method in terms of precision.