dc.contributor.author | Bandara, H.M.T.N. | |
dc.date.accessioned | 2022-04-21T08:11:28Z | |
dc.date.available | 2022-04-21T08:11:28Z | |
dc.date.issued | 2018-10-17 | |
dc.identifier.citation | 4th International Research Symposium | en_US |
dc.identifier.issn | 2235-9710 | |
dc.identifier.uri | http://repository.rjt.ac.lk/handle/123456789/4331 | |
dc.language.iso | en | en_US |
dc.publisher | Rajarata University of Sri Lanka | en_US |
dc.subject | Biodiversity | en_US |
dc.subject | Social media | en_US |
dc.subject | Tweets | en_US |
dc.title | Biodiversity data in twitter network: understanding the latent information by text mining approach | en_US |
dc.type | Article | en_US |