电子科技学刊2022，Vol.20Issue(2)：187-208,22.DOI:10.1016/j.jnlest.2022.100160
Investigating the Relevance of Arabic Text Classification Datasets Based on Supervised Learning
Investigating the Relevance of Arabic Text Classification Datasets Based on Supervised Learning
Ahmad Hussein Ababneh1
作者信息
- 1. Computer Science Department,American University of Madaba,Madaba 2882
- 折叠
摘要
关键词
K-nearest neighbor (KNN)/logistic regression (LR)/naive Bayes (NB)/random forest (RF)/support vector machine (SVM)/text classification (TC)Key words
K-nearest neighbor (KNN)/logistic regression (LR)/naive Bayes (NB)/random forest (RF)/support vector machine (SVM)/text classification (TC)引用本文复制引用
Ahmad Hussein Ababneh..Investigating the Relevance of Arabic Text Classification Datasets Based on Supervised Learning[J].电子科技学刊,2022,20(2):187-208,22.
