文献
J-GLOBAL ID:202102228978168013
整理番号:21A0005644
TOP-Rank:Urdu文書のためのキーフレーズ抽出を用いたトピック予測のための新しい教師なしアプローチ【JST・京大機械翻訳】
TOP-Rank: A Novel Unsupervised Approach for Topic Prediction Using Keyphrase Extraction for Urdu Documents
著者 (7件):
Amin Ahmad
(Department of Computer Science and IT, The University of Lahore, Lahore, Pakistan)
,
Rana Toqir A.
(Department of Computer Science and IT, The University of Lahore, Lahore, Pakistan)
,
Mian Natash Ali
(School of Computer and Information Technology, Beaconhouse National University, Lahore, Pakistan)
,
Iqbal Muhammad Waseem
(Department of Computer Science and IT, The Superior College (University Campus), Lahore, Pakistan)
,
Khalid Abbas
(Department of Computer Science and IT, The University of Lahore, Lahore, Pakistan)
,
Alyas Tahir
(Department of Computer Science, Lahore Garrison University, Lahore, Pakistan)
,
Tubishat Mohammad
(School of Technology and Computing, Asia Pacific University of Technology and Innovation, Kuala Lumpur, Malaysia)
資料名:
IEEE Access
(IEEE Access)
巻:
8
ページ:
212675-212686
発行年:
2020年
JST資料番号:
W2422A
ISSN:
2169-3536
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
アメリカ合衆国 (USA)
言語:
英語 (EN)