机译:用于文本分类的扩展预处理管道:关于元特征表示,稀疏和选择性抽样的作用
Federal University of Minas Gerais Belo Horizonte MG Brazil;
Federal University of Minas Gerais Belo Horizonte MG Brazil;
Federal University of Minas Gerais Belo Horizonte MG Brazil;
Federal University of Minas Gerais Belo Horizonte MG Brazil;
Federal University of Minas Gerais Belo Horizonte MG Brazil;
Federal University of Minas Gerais Belo Horizonte MG Brazil;
Federal University of Minas Gerais Belo Horizonte MG Brazil;
Federal University of Goias GO Brazil;
Federal University of Minas Gerais Belo Horizonte MG Brazil;
Federal University of Sao Joao Del Rei So Joao Del Rei MG Brazil;
Text classification pipelines; Pre-processing; Meta-features; Selective sampling; Sparsification; Experimental evaluation;
机译:对基于距离的元特征进行自动文本分类的全面评估
机译:将用于SVM文本分类的监督术语权重度量与扩展术语表示相结合
机译:使用基于不确定性的选择性采样提高朴素贝叶斯文本分类
机译:通过本地最大值扩展摘要文本稀疏
机译:扩展动态模式分解中的稀疏,采样和系统识别
机译:分析大型多标签文本分类管道的运动部分:生物医学文章索引的经验
机译:I-aTaC:用于管理和预处理aTaC-seq样本的交互式管道