Redundancy and novelty mining in the business blogosphere

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.