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Social Mining Harvester, using Twitter

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Articulo Final_Alberto Jove (344.2Kb)
Date
2013
Author
Jové Iguina, Alberto F.
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Abstract
This 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.
URI
http://hdl.handle.net/20.500.12475/818
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