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» An Immune-based Approach to Document Classification
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KDD
2009
ACM
156views Data Mining» more  KDD 2009»
16 years 9 days ago
Effective multi-label active learning for text classification
Labeling text data is quite time-consuming but essential for automatic text classification. Especially, manually creating multiple labels for each document may become impractical ...
Bishan Yang, Jian-Tao Sun, Tengjiao Wang, Zheng Ch...
107
Voted
ICMCS
2006
IEEE
144views Multimedia» more  ICMCS 2006»
15 years 5 months ago
TV Commercial Classification by using Multi-Modal Textual Information
In this paper, we propose an approach for TV commercial video classification by the categories of advertised products or services (e.g. automobiles, healthcare products, etc). Sin...
Yantao Zheng, Lingyu Duan, Qi Tian, Jesse S. Jin
BMCBI
2005
155views more  BMCBI 2005»
14 years 11 months ago
Mining protein function from text using term-based support vector machines
Background: Text mining has spurred huge interest in the domain of biology. The goal of the BioCreAtIvE exercise was to evaluate the performance of current text mining systems. We...
Simon B. Rice, Goran Nenadic, Benjamin J. Stapley
KDD
2003
ACM
157views Data Mining» more  KDD 2003»
16 years 5 days ago
Cross-training: learning probabilistic mappings between topics
Classification is a well-established operation in text mining. Given a set of labels A and a set DA of training documents tagged with these labels, a classifier learns to assign l...
Sunita Sarawagi, Soumen Chakrabarti, Shantanu Godb...
IPM
2006
146views more  IPM 2006»
14 years 11 months ago
Dictionary-based text categorization of chemical web pages
A new dictionary-based text categorization approach is proposed to classify the chemical web pages efficiently. Using a chemistry dictionary, the approach can extract chemistry-re...
Chunyan Liang, Li Guo, Zhaojie Xia, Feng-Guang Nie...