Twitter™ on aquaculture: understanding the latent information using R

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dc.contributor.authorBandara, T.
dc.contributor.authorRadampola, K.
dc.date.accessioned2022-07-28T16:59:16Z
dc.date.available2022-07-28T16:59:16Z
dc.date.issued2018
dc.identifier.citationTropical Agricultural Research and Extension,21(1-2):p.1-6
dc.identifier.urihttps://dl.nsf.gov.lk/handle/1/25621
dc.publisherFaculty of Agriculture, University of Ruhuna:Kamburupitiya
dc.subjectTwitter
dc.subjectAquaculture
dc.subjectR programming
dc.subjectData mining
dc.subjectTopic modeling
dc.subjectSocial-media
dc.titleTwitter™ on aquaculture: understanding the latent information using R

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