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CrowdSourced weather reports: An implementation of the µ model for spotting weather information in Twitter

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dc.contributor.author Butgereit, L
dc.date.accessioned 2014-08-15T13:13:12Z
dc.date.available 2014-08-15T13:13:12Z
dc.date.issued 2014-05
dc.identifier.citation Butgereit, L. 2014. CrowdSourced weather reports: An implementation of the µ model for spotting weather information in Twitter. In: IST-Africa 2014 Conference Proceedings, Mauritius, 6-10 May 2014 en_US
dc.identifier.isbn 978-1-905824-43-4
dc.identifier.uri http://hdl.handle.net/10204/7607
dc.description IST-Africa 2014 Conference Proceedings, Mauritius, 6-10 May 2014 en_US
dc.description.abstract Twitter is a microblogging facility that allows people to post 140 character status updates about various topics. In times of special events (such as extreme weather, emergencies, sporting goals, etc), status updates on Twitter often give people a better view of the event than traditional news operations or weather services. This paper describes a project in monitoring Twitter for weather status updates for a specific city and being able to automatically determine the current weather by analysing those tweets. en_US
dc.language.iso en en_US
dc.publisher IST Africa en_US
dc.relation.ispartofseries Workflow;13135
dc.subject Twitter en_US
dc.subject Weather services information en_US
dc.subject Micro-blogging en_US
dc.title CrowdSourced weather reports: An implementation of the µ model for spotting weather information in Twitter en_US
dc.type Conference Presentation en_US
dc.identifier.apacitation Butgereit, L. (2014). CrowdSourced weather reports: An implementation of the µ model for spotting weather information in Twitter. IST Africa. http://hdl.handle.net/10204/7607 en_ZA
dc.identifier.chicagocitation Butgereit, L. "CrowdSourced weather reports: An implementation of the µ model for spotting weather information in Twitter." (2014): http://hdl.handle.net/10204/7607 en_ZA
dc.identifier.vancouvercitation Butgereit L, CrowdSourced weather reports: An implementation of the µ model for spotting weather information in Twitter; IST Africa; 2014. http://hdl.handle.net/10204/7607 . en_ZA
dc.identifier.ris TY - Conference Presentation AU - Butgereit, L AB - Twitter is a microblogging facility that allows people to post 140 character status updates about various topics. In times of special events (such as extreme weather, emergencies, sporting goals, etc), status updates on Twitter often give people a better view of the event than traditional news operations or weather services. This paper describes a project in monitoring Twitter for weather status updates for a specific city and being able to automatically determine the current weather by analysing those tweets. DA - 2014-05 DB - ResearchSpace DP - CSIR KW - Twitter KW - Weather services information KW - Micro-blogging LK - https://researchspace.csir.co.za PY - 2014 SM - 978-1-905824-43-4 T1 - CrowdSourced weather reports: An implementation of the µ model for spotting weather information in Twitter TI - CrowdSourced weather reports: An implementation of the µ model for spotting weather information in Twitter UR - http://hdl.handle.net/10204/7607 ER - en_ZA


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