Twitter™ on aquaculture: understanding the latent information using R
Date
2018
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
Faculty of Agriculture, University of Ruhuna:Kamburupitiya
Abstract
Description
Keywords
Twitter, Aquaculture, R programming, Data mining, Topic modeling, Social-media
Citation
Tropical Agricultural Research and Extension,21(1-2):p.1-6