The Feasibility of Automated Topic Analysis: An Empirical Evaluation of Deep Learning Techniques Applied to Skew-Distributed Chinese Text Classification
title = "The Feasibility of Automated Topic Analysis: An Empirical Evaluation of Deep Learning Techniques Applied to Skew-Distributed Chinese Text Classification",
author = "曾 元顯",
year = "2020",
language = "繁體中文",
volume = "57",
journal = "教育資料與圖書館學",
issn = "1013-090x",
publisher = "淡江大學資訊與圖書館學系",
number = "1",
}
TY - JOUR
T1 - The Feasibility of Automated Topic Analysis: An Empirical Evaluation of Deep Learning Techniques Applied to Skew-Distributed Chinese Text Classification