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Real-time classification of twitter trends using support vector machine with location tracking
, , Santhanam P., , Kumar Kishore
Published in Blue Eyes Intelligence Engineering and Sciences Publication
Volume: 8
Issue: 6
Pages: 359 - 367
In social network worldwide there are a lot of people having twitter accounts. Every new and old user trying to create a new account in twitter for his own purposes like they can follow and tweet to the celebrity and the popular persons but some users giving the fake details in their profile like country, place, and locations. It may happen for fake data information and tweets, followers and unwanted messages can be posted on Twitter. Here using the geographical tracking location system with the help of longitude and latitude of geo-location mapping system. So users' can register an account with the current location only, if anyone trying to create the duplicate location that user information will be blocked and the details of latitude and longitude information can be sent to the admin with the current location of duplicate users'. It proposes to validate its effectiveness through the experiments. © BEIESP.
About the journal
JournalInternational Journal of Innovative Technology and Exploring Engineering
PublisherBlue Eyes Intelligence Engineering and Sciences Publication
Open AccessNo