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ERIC Number: EJ922561
Record Type: Journal
Publication Date: 2010
Pages: 10
Abstractor: As Provided
Reference Count: 32
ISBN: N/A
ISSN: ISSN-0969-6474
Redundancy and Novelty Mining in the Business Blogosphere
Tsai, Flora S.; Chan, Kap Luk
Learning Organization, v17 n6 p490-499 2010
Purpose: The paper aims to explore the performance of redundancy and novelty mining in the business blogosphere, which has not been studied before. Design/methodology/approach: Novelty mining techniques are implemented to single out novel information out of a massive set of text documents. This paper adopted the mixed metric approach which combines symmetric and asymmetric metrics. Findings: The results show that the novelty mining system can detect novel and redundant blogs in the dataset of business blogs with a very high accuracy. Originality/value: This paper shows that novelty mining techniques can be applied to business blogs to help organizations filter redundant information, and that the cosine and mixed metrics approaches produce better results. (Contains 4 figures and 2 tables.)
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Publication Type: Journal Articles; Reports - Evaluative
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A