Open AccessA Comparative Study of Machine Learning Methods for Genre Identification of Classical Arabic Text
Author(s) -
Maha Al-Yahya
Publication year - 2019
Publication title -
computers, materials and continua/computers, materials and continua (print)
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.788
H-Index - 40
eISSN - 1546-2226
pISSN - 1546-2218
DOI - 10.32604/cmc.2019.06209
Subject(s) - artificial intelligence , computer science , support vector machine , identification (biology) , natural language processing , arabic , task (project management) , set (abstract data type) , machine learning , engineering , linguistics , philosophy , botany , systems engineering , biology , programming language