@inproceedings{697d1a53ae1d4c71aa8aa9035fcddc4d,
title = "Topic word selection for blogs by topic richness using web search result clustering",
abstract = "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.",
keywords = "Data mining, Information retrieval topic extraction, Result clustering, Text mining",
author = "Jinhee Park and Sungwoo Lee and Jung, \{Hye Wuk\} and Lee, \{Jee Hyong\}",
year = "2012",
doi = "10.1145/2184751.2184846",
language = "English",
isbn = "9781450311724",
series = "Proceedings of the 6th International Conference on Ubiquitous Information Management and Communication, ICUIMC'12",
booktitle = "Proceedings of the 6th International Conference on Ubiquitous Information Management and Communication, ICUIMC'12",
note = "6th International Conference on Ubiquitous Information Management and Communication, ICUIMC'12 ; Conference date: 20-02-2012 Through 22-02-2012",
}