Analysis of agricultural exports based on deep learning and text mining

Agricultural exports are an important source of economic profit for many countries. Accurate predictions of a country’s agricultural exports month on month are key to understanding a country’s domestic use and export figures and facilitate advance planning of export, import, and domestic use figures...

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Bibliographic Details
Published in:	The Journal of supercomputing Vol. 78; no. 8; pp. 10876 - 10892
Main Authors:	Xu, Jia-Lang, Hsu, Ying-Lin
Format:	Journal Article
Language:	English
Published:	New York Springer US 01.05.2022 Springer Nature B.V
Subjects:	Agricultural exports & imports Compilers Computer Science Data mining Deep learning Deep Learning in IoT: Emerging Trends and Applications - 2019 Exports Finance Food Graphical representations Insurance Interpreters Keywords Medical equipment Processor Architectures Procurement management Programming Languages Purchasing Real estate Segmentation Textiles Transportation Text mining Purchasing managers’ index Long short-term memory (LSTM) Non-manufacturing purchasing managers’ index Time series Principal component analysis
ISSN:	0920-8542, 1573-0484
Online Access:	Get full text
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