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Twitter™ on aquaculture: understanding the latent information using R Cover

Twitter™ on aquaculture: understanding the latent information using R

Tropical Agricultural Research and Extension
Volume 21 (2018): Issue 1-2
By:  and    
Open Access
|Jun 2018
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DOI: https://doi.org/10.4038/tare.v21i1-2.5459 | Journal eISSN: 1391-3646
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Language: English
Page range: 1 - 6
Published on: Jun 30, 2018
Published by: Faculty of Agriculture, University of Ruhuna
In partnership with: Paradigm Publishing Services
Keywords:
Twitter,
Aquaculture,
R programming,
Data mining,
Topic modeling,
Social media

© 2018 Tharindu Bandara, K. Radampola, published by Faculty of Agriculture, University of Ruhuna
This work is licensed under the Creative Commons License.

Volume 21 (2018): Issue 1-2
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