A Thorough Evaluation of Distance-Based Meta-Features for Automated Text Classification.
IEEE Transactions on Knowledge and Data Engineering(2018)
摘要
We address the problem of automatically learning to classify texts by exploiting information derived from meta-features, i.e., features derived from the original bag-of-words representation. Specifically, we provide an in-depth analysis on the recently proposed distance-based meta-features, a data engineering technique that relies on the distance between documents to transform the original feature...
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关键词
Feature extraction,Data engineering,Computational efficiency,Genetic algorithms,Classification,Text classification
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