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» Text Mining at the Term Level
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122
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KDD
2007
ACM
139views Data Mining» more  KDD 2007»
16 years 4 months ago
Raising the baseline for high-precision text classifiers
Many important application areas of text classifiers demand high precision and it is common to compare prospective solutions to the performance of Naive Bayes. This baseline is us...
Aleksander Kolcz, Wen-tau Yih
118
Voted
SAC
2009
ACM
15 years 10 months ago
Automatic discovery of technology trends from patent text
Patent text is a rich source to discover technological progresses, useful to understand the trend and forecast upcoming advances. For the importance in mind, several researchers h...
Youngho Kim, Yingshi Tian, Yoonjae Jeong, Jihee Ry...
143
Voted
BMCBI
2005
189views more  BMCBI 2005»
15 years 3 months ago
A sentence sliding window approach to extract protein annotations from biomedical articles
Background: Within the emerging field of text mining and statistical natural language processing (NLP) applied to biomedical articles, a broad variety of techniques have been deve...
Martin Krallinger, Maria Padron, Alfonso Valencia
110
Voted
CORR
2004
Springer
122views Education» more  CORR 2004»
15 years 3 months ago
"In vivo" spam filtering: A challenge problem for data mining
Spam, also known as Unsolicited Commercial Email (UCE), is the bane of email communication. Many data mining researchers have addressed the problem of detecting spam, generally by...
Tom Fawcett
125
Voted
WSDM
2009
ACM
112views Data Mining» more  WSDM 2009»
15 years 10 months ago
Finding text reuse on the web
With the overwhelming number of reports on similar events originating from different sources on the web, it is often hard, using existing web search paradigms, to find the origi...
Michael Bendersky, W. Bruce Croft