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CIKM
2006
Springer
13 years 9 months 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
CIDU
2010
13 years 4 months ago
Multi-label ASRS Dataset Classification Using Semi Supervised Subspace Clustering
There has been a lot of research targeting text classification. Many of them focus on a particular characteristic of text data - multi-labelity. This arises due to the fact that a ...
Mohammad Salim Ahmed, Latifur Khan, Nikunj C. Oza,...
COOPIS
2003
IEEE
13 years 11 months ago
Automatic Expansion of Manual Email Classifications Based on Text Analysis
The organization of documents is a task that we face as computer users daily. This is particularly true for management of email. Typically email documents are organized in director...
Enrico Giacoletto, Karl Aberer
ICDM
2009
IEEE
151views Data Mining» more  ICDM 2009»
13 years 3 months ago
TagLearner: A P2P Classifier Learning System from Collaboratively Tagged Text Documents
The amount of text data on the Internet is growing at a very fast rate. Online text repositories for news agencies, digital libraries and other organizations currently store gigaan...
Haimonti Dutta, Xianshu Zhu, Tushar Mahule, Hillol...
CIKM
2005
Springer
13 years 11 months ago
A hybrid approach to NER by MEMM and manual rules
This paper describes a framework for defining domain specific Feature Functions in a user friendly form to be used in a Maximum Entropy Markov Model (MEMM) for the Named Entity Re...
Moshe Fresko, Binyamin Rosenfeld, Ronen Feldman