政大機構典藏-National Chengchi University Institutional Repository(NCCUR):Item 140.119/61592

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政大機構典藏 > 商學院 > 會計學系 > 期刊論文 > Item 140.119/61592

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题名:	Indices of novelty for emerging-topic detection
作者:	諶家蘭 Seng, Jia-Lang
贡献者:	會計系
关键词:	Topic detection and tracking;Text mining;Information retrieval;Novelty index;Published volume index;Aging theory
日期:	2012.03
上传时间:	2013-11-11 17:04:49 (UTC+8)
摘要:	Emerging topic detection is a vital research area for researchers and scholars interested in searching for and tracking new research trends and topics. The current methods of text mining and data mining used for this purpose focus only on the frequency of which subjects are mentioned, and ignore the novelty of the subject which is also critical, but beyond the scope of a frequency study. This work tackles this inadequacy to propose a new set of indices for emerging topic detection. They are the novelty index (NI) and the published volume index (PVI). This new set of indices is created based on time, volume, frequency and represents a resolution to provide a more precise set of prediction indices. They are then utilized to determine the detection point (DP) of new emerging topics. Following the detection point, the intersection decides the worth of a new topic. The algorithms presented in this paper can be used to decide the novelty and life span of an emerging topic in a specific field. The entire comprehensive collection of the ACM Digital Library is examined in the experiments. The application of the NI and PVI gives a promising indication of emerging topics in conferences and journals.
關聯:	Information processing & management, 48(2) , 303-325
数据类型:	article
DOI 連結:	http://dx.doi.org/http://dx.doi.org/10.1016/j.ipm.2011.07.006
DOI:	10.1016/j.ipm.2011.07.006
显示于类别:	[會計學系] 期刊論文

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