Weblogs: Simplifying Web Publishing
Computer
Bridging the Gap: A Genre Analysis of Weblogs
HICSS '04 Proceedings of the Proceedings of the 37th Annual Hawaii International Conference on System Sciences (HICSS'04) - Track 4 - Volume 4
Topic Detection from Blog Documents Using Users' Interests
MDM '06 Proceedings of the 7th International Conference on Mobile Data Management
Mining blog stories using community-based and temporal clustering
CIKM '06 Proceedings of the 15th ACM international conference on Information and knowledge management
Comments-oriented blog summarization by sentence extraction
Proceedings of the sixteenth ACM conference on Conference on information and knowledge management
An effective statistical approach to blog post opinion retrieval
Proceedings of the 17th ACM conference on Information and knowledge management
Fitting score distribution for blog opinion retrieval
Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval
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Blogs are one of popular services to publish and archive posts with personal opinions on the web. The topics of a blog can be used for classification, recommendation, opinion mining, and ranking, etc. In this paper, we propose a method for extracting important topic words from a blog. Our method selects topic words by measuring whether the blog includes rich content on the word. To measure the richness of a blog on candidate topic words, we compare web search results by the candidate words with the content of the blog. We used document clustering and cluster matching in order to compare them.