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dc.rights.licenseAll rights reserveden_US
dc.contributor.advisorDuffany, Jeffrey
dc.contributor.authorJové Iguina, Alberto F.
dc.date.accessioned2020-10-02T13:47:01Z
dc.date.available2020-10-02T13:47:01Z
dc.date.issued2013
dc.identifier.citationJové Iguina, A. F. (2013). Social mining harvester, using Twitter [Unpublished manuscript]. Graduate School, Polytechnic University of Puerto Rico.en_US
dc.identifier.urihttp://hdl.handle.net/20.500.12475/818
dc.descriptionDesign Project Article for the Graduate Programs at Polytechnic University of Puerto Ricoen_US
dc.description.abstractThis article showcases phase one of a system that is able to analyze the Social Web. Here we present how to create a harvester for the Social Network Twitter. We explain the different technologies used and how to proceed to improve this first phase, as well as to provide ideas for future phases. Social Networks are the biggest buzzword on the Internet, and a tool like this harvester will provide us a method to easily acquire data. In order to execute some data mining techniques that will help understand what is going on to companies, governments and people. The wealth of data readily available is of interest to many, and we have been able to create a platform where to get or view the data from Twitter. Key Terms ⎯ CouchDB, Python, Redis, Tweets.en_US
dc.language.isoen_USen_US
dc.publisherPolytechnic University of Puerto Ricoen_US
dc.relation.ispartofComputer Science;
dc.relation.ispartofseriesFall-2013;
dc.relation.haspartSan Juanen_US
dc.subject.lcshData mining
dc.subject.lcshOnline social networks
dc.subject.lcshSocial networks--Data processing
dc.subject.lcshPolytechnic University of Puerto Rico--Graduate students--Research
dc.titleSocial Mining Harvester, using Twitteren_US
dc.typeArticleen_US
dc.rights.holderPolytechnic University of Puerto Rico, Graduate Schoolen_US


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