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題名 Indices of novelty for emerging-topic detection
作者 諶家蘭
Seng, Jia-Lang
貢獻者 會計系
關鍵詞 Topic detection and tracking; Text mining; Information retrieval; Novelty index; Published volume index; Aging theory
日期 2012.03
上傳時間 11-Nov-2013 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
資料類型 article
DOI http://dx.doi.org/http://dx.doi.org/10.1016/j.ipm.2011.07.006
dc.contributor 會計系en_US
dc.creator (作者) 諶家蘭zh_TW
dc.creator (作者) Seng, Jia-Langen_US
dc.date (日期) 2012.03en_US
dc.date.accessioned 11-Nov-2013 17:04:49 (UTC+8)-
dc.date.available 11-Nov-2013 17:04:49 (UTC+8)-
dc.date.issued (上傳時間) 11-Nov-2013 17:04:49 (UTC+8)-
dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/61592-
dc.description.abstract (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.en_US
dc.format.extent 646218 bytes-
dc.format.mimetype application/pdf-
dc.language.iso en_US-
dc.relation (關聯) Information processing & management, 48(2) , 303-325en_US
dc.subject (關鍵詞) Topic detection and tracking; Text mining; Information retrieval; Novelty index; Published volume index; Aging theoryen_US
dc.title (題名) Indices of novelty for emerging-topic detectionen_US
dc.type (資料類型) articleen
dc.identifier.doi (DOI) 10.1016/j.ipm.2011.07.006en_US
dc.doi.uri (DOI) http://dx.doi.org/http://dx.doi.org/10.1016/j.ipm.2011.07.006en_US