Please use this identifier to cite or link to this item: http://hdl.handle.net/2445/97542
Title: Anàlisi de sentiment a Twitter mitjançant tecnologies big data
Author: Obiols Montesinos, Albert
Director: Garrido Ostermann, Lluís
Keywords: Dades massives
Algorismes computacionals
Programari
Tesis
Big data
Computer algorithms
Computer software
Theses
Issue Date: 6-Feb-2016
Abstract: In the last years, with the information technologies breakthrough, the amount of data generated it’s bigger every day. Extract significant data from this information, can be really useful for a lot of companies, where their business plans and decision making is based on. The problem is that it’s not longer cost-effective with the traditional methods. So, this raises new challenges and ways to treat a large volume of information, creating new technologies like Hadoop, that are capable of processing raw data really fast. BIG DATA is the phenomenon that involves all this large volume of information and the new methods and tecnologies to process it. This project aims to make a tool able to run sentiment and geographic analysis at real-time with tweets retrieved from the social media network Twitter. This tool will use new technologies like Kafka, Storm and HBase to make it possible. With the development of this project, a company will be able to see the impact of a marketing campaign, product or service offered.
Note: Treballs Finals de Grau d'Enginyeria Informàtica, Facultat de Matemàtiques, Universitat de Barcelona, Any: 2016, Director: Lluís Garrido Ostermann
URI: http://hdl.handle.net/2445/97542
Appears in Collections:Treballs Finals de Grau (TFG) - Enginyeria Informàtica

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