Butgereit, L2014-08-152014-08-152014-05Butgereit, 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 2014978-1-905824-43-4http://hdl.handle.net/10204/7607IST-Africa 2014 Conference Proceedings, Mauritius, 6-10 May 2014Twitter 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.enTwitterWeather services informationMicro-bloggingCrowdSourced weather reports: An implementation of the µ model for spotting weather information in TwitterConference PresentationButgereit, L. (2014). CrowdSourced weather reports: An implementation of the µ model for spotting weather information in Twitter. IST Africa. http://hdl.handle.net/10204/7607Butgereit, L. "CrowdSourced weather reports: An implementation of the µ model for spotting weather information in Twitter." (2014): http://hdl.handle.net/10204/7607Butgereit 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 .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 -