Exploiting efficient and effective lazy Semi-Bayesian strategies for text classification.
Neurocomputing(2018)
摘要
•A thorough study on the aforementioned combinations of NB strategies and feature weighting approaches.•We proposed a methodology that enables a deeper study of the impact of these NB strategies.•The proposal of new GPU-based lazy Semi-NB approach, called LSPTAN.•The introduced of an efficient GPU-based parallel implementation.•We investigate the real impact of the NB attribute independence assumption and the proposed Semi-NB approaches.
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关键词
Text classification,Naive Bayes classifier,Semi-Naive Bayes heuristics,Feature weighting techniques,GPU parallelization
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