文献
J-GLOBAL ID:201802215036897573
整理番号:18A2031016
データ収集のためのTwitterマイニング法の可能性の試験:複数分類群における生態学的研究のための新しい機会の評価【JST・京大機械翻訳】
Testing the potential of Twitter mining methods for data acquisition: Evaluating novel opportunities for ecological research in multiple taxa
著者 (5件):
Hart Adam G.
(School of Natural and Social Sciences, University of Gloucestershire, Cheltenham, UK)
,
Carpenter William S.
(School of Natural and Social Sciences, University of Gloucestershire, Cheltenham, UK)
,
Hlustik-Smith Estelle
(School of Natural and Social Sciences, University of Gloucestershire, Cheltenham, UK)
,
Reed Matt
(School of Natural and Social Sciences, University of Gloucestershire, Cheltenham, UK)
,
Goodenough Anne E.
(School of Natural and Social Sciences, University of Gloucestershire, Cheltenham, UK)
資料名:
Methods in Ecology and Evolution
(Methods in Ecology and Evolution)
巻:
9
号:
11
ページ:
2194-2205
発行年:
2018年
JST資料番号:
W2682A
ISSN:
2041-210X
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)