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Title: Sistema de BI per l'anàlisi dels sentiments a Twitter
Author: Orriols Torras, Jordi
Director: Solé-Ribalta, Albert  
Tutor: Gil Blasco, Eduard
Abstract: The main objective of the project is to create a end to end system of Social Listening that is able to predict the sentiment of any given topic. This will enable us, for example, to analyze several companies between them, look at geographical data of a certain topic like a president, an idea or a concept... The results will be visualized by a specially designed Power BI dashboard which will enable us to drill down the information to get more insights. We will see the impact of a tweet and the sentiment that this one is giving to us, the influence that the user has and the evolution of this sentiment along the time. To do so, we will base our information on the data generated by twitter. Everyday millions of tweets are generated in twitter and we will capture those and use it for our analysis and save it into a MySql data base. Once we have the data, we will transform this data into information that is useful applying several procedures and analyzing the sentiments on the tweets. All the solution will be easily deployed with Docker so it can be deployed on cloud and gave us the ability to escalate the infrastructure when needed. The Python will be the main language of this project.
Keywords: business intelligence
big data
Document type: info:eu-repo/semantics/masterThesis
Issue Date: Jun-2020
Publication license:  
Appears in Collections:Bachelor thesis, research projects, etc.

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