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KDD
2008
ACM
199views Data Mining» more  KDD 2008»
16 years 4 months ago
Building semantic kernels for text classification using wikipedia
Document classification presents difficult challenges due to the sparsity and the high dimensionality of text data, and to the complex semantics of the natural language. The tradi...
Pu Wang, Carlotta Domeniconi
KDD
2006
ACM
118views Data Mining» more  KDD 2006»
16 years 4 months ago
Reducing the human overhead in text categorization
Many applications in text processing require significant human effort for either labeling large document collections (when learning statistical models) or extrapolating rules from...
Arnd Christian König, Eric Brill
KDD
2002
ACM
147views Data Mining» more  KDD 2002»
16 years 4 months ago
A parallel learning algorithm for text classification
Text classification is the process of classifying documents into predefined categories based on their content. Existing supervised learning algorithms to automatically classify te...
Canasai Kruengkrai, Chuleerat Jaruskulchai
DMIN
2009
195views Data Mining» more  DMIN 2009»
15 years 2 months ago
Improved k-NN Algorithm for Text Classification
- Over the last twenty years, text classification has become one of the key techniques for organizing electronic information such as text and web documents. The k-Nearest Neighbor ...
Muhammed Miah
CIKM
2009
Springer
15 years 10 months ago
Interactive, topic-based visual text summarization and analysis
We are building an interactive, visual text analysis tool that aids users in analyzing a large collection of text. Unlike existing work in text analysis, which focuses either on d...
Shixia Liu, Michelle X. Zhou, Shimei Pan, Weihong ...