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» Automated text classification using a multi-agent framework
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SMC
2007
IEEE
133views Control Systems» more  SMC 2007»
13 years 11 months ago
Text classification using multi-word features
—We carried out a series of experiments on text classification using multi-word features. An automated method was proposed to extract the multi-words from text data set and two d...
Wen Zhang, Taketoshi Yoshida, Xijin Tang
COLING
2010
12 years 11 months ago
Enhanced Sentiment Learning Using Twitter Hashtags and Smileys
Automated identification of diverse sentiment types can be beneficial for many NLP systems such as review summarization and public media analysis. In some of these systems there i...
Dmitry Davidov, Oren Tsur, Ari Rappoport
DALT
2004
Springer
13 years 8 months ago
Modeling and Verification of Distributed Autonomous Agents Using Logic Programming
Systems of autonomous agents providing automated services over the Web are fast becoming a reality. Often these agent systems are constructed using procedural architectures that pr...
L. Robert Pokorny, C. R. Ramakrishnan
ATAL
2009
Springer
13 years 11 months ago
Integrating organizational control into multi-agent learning
Multi-Agent Reinforcement Learning (MARL) algorithms suffer from slow convergence and even divergence, especially in largescale systems. In this work, we develop an organization-b...
Chongjie Zhang, Sherief Abdallah, Victor R. Lesser
DEXA
2006
Springer
143views Database» more  DEXA 2006»
13 years 8 months ago
Multivariate Stream Data Classification Using Simple Text Classifiers
We introduce a classification framework for continuous multivariate stream data. The proposed approach works in two steps. In the preprocessing step, it takes as input a sliding wi...
Sungbo Seo, Jaewoo Kang, Dongwon Lee, Keun Ho Ryu