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» Text classification from positive and unlabeled documents
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CIKM
2000
Springer
14 years 28 days ago
Scalable association-based text classification
Naïve Bayes (NB) classifier has long been considered a core methodology in text classification mainly due to its simplicity and computational efficiency. There is an increasing n...
Dimitris Meretakis, Dimitris Fragoudis, Hongjun Lu...
MICAI
2009
Springer
14 years 1 months ago
Using Nearest Neighbor Information to Improve Cross-Language Text Classification
Cross-language text classification (CLTC) aims to take advantage of existing training data from one language to construct a classifier for another language. In addition to the expe...
Adelina Escobar-Acevedo, Manuel Montes-y-Gó...
KDD
2008
ACM
199views Data Mining» more  KDD 2008»
14 years 9 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
CIKM
2006
Springer
14 years 10 days ago
Text classification improved through multigram models
Classification algorithms and document representation approaches are two key elements for a successful document classification system. In the past, much work has been conducted to...
Dou Shen, Jian-Tao Sun, Qiang Yang, Zheng Chen
EMNLP
2004
13 years 10 months ago
Trained Named Entity Recognition using Distributional Clusters
This work applies boosted wrapper induction (BWI), a machine learning algorithm for information extraction from semi-structured documents, to the problem of named entity recogniti...
Dayne Freitag