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» Indexing Text Documents Based on Topic Identification
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112
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BMCBI
2008
139views more  BMCBI 2008»
15 years 3 months ago
Abbreviation definition identification based on automatic precision estimates
Background: The rapid growth of biomedical literature presents challenges for automatic text processing, and one of the challenges is abbreviation identification. The presence of ...
Sunghwan Sohn, Donald C. Comeau, Won Kim, W. John ...
153
Voted
SDM
2007
SIAM
177views Data Mining» more  SDM 2007»
15 years 5 months ago
Bursty Feature Representation for Clustering Text Streams
Text representation plays a crucial role in classical text mining, where the primary focus was on static text. Nevertheless, well-studied static text representations including TFI...
Qi He, Kuiyu Chang, Ee-Peng Lim, Jun Zhang
151
Voted
MLDM
2005
Springer
15 years 9 months ago
CorePhrase: Keyphrase Extraction for Document Clustering
Abstract. The ability to discover the topic of a large set of text documents using relevant keyphrases is usually regarded as a very tedious task if done by hand. Automatic keyphra...
Khaled M. Hammouda, Diego N. Matute, Mohamed S. Ka...
108
Voted
CIKM
2008
Springer
15 years 5 months ago
Topic models and a revisit of text-related applications
Topic models such as aspect model or LDA have been shown as a promising approach for text modeling. Unlike many previous models that restrict each document to a single topic, topi...
Viet Ha-Thuc, Padmini Srinivasan
136
Voted
ICDAR
1999
IEEE
15 years 8 months ago
Segmenting Documents using Multiple Lexical Features
A method is presented for segmenting documents into conceptually related areas. Determining the equivalence of text is often based on the number of word repetitions. This approach...
Amanda C. Jobbins, Lindsay J. Evett