Detecting novel business blogs

Authors:
Hongyao Liang;Flora S. Tsai;Agus T. Kwee
Affiliations:
School of Electrical & Electronic Engineering, Nanyang Technological University, Singapore;School of Electrical & Electronic Engineering, Nanyang Technological University, Singapore;School of Electrical & Electronic Engineering, Nanyang Technological University, Singapore
Venue:
ICICS'09 Proceedings of the 7th international conference on Information, communications and signal processing
Year:
2009

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Abstract

Nowadays, blogs have become a popular way for people and organizations to publish news and information to the public, as well as advertise their products. Certain information contained in the blogs represent business opportunities and thus can be utilized by speculators. However, many blogs may often contain similar information and the sheer volume of available information really challenges the ability of organizations to act quickly in today's business environment. Thus, a lot of work has been done to develop a novelty detection system, which is able to single out novel information out of a set of massive text documents. This paper explores the feasibility and performance of detecting novel business blogs, which has not been studied before. The results show that our novelty detection system can detect novelty in our dataset of business blogs with very high accuracy, which indicate that our novelty detection algorithm is successful in detecting novel business blogs.