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Title: Explaining stock exchange prices using supervised learning and sentiment analysis
Author: Anton Blanco, Alvaro
Director: Subirats Maté, Laia
Tutor: Pujol Jover, Maria  
Sancho Vinuesa, Teresa  
Others: Universitat Oberta de Catalunya
Keywords: Big data
business intelligence
Issue Date: Jun-2017
Publisher: Universitat Oberta de Catalunya
Abstract: this document aims to explain the stock market development in contrast with headlines and news data. For doing this, sentiment analysis and time series analysis along with other approaches are used. After the analysis of the performance, it is going to be proven that there is no strong evidence, with the available data, to show a clear common trend between headlines and the stock index.
Language: English
Appears in Collections:UOC Learning resources

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alvaroantonTFM0617memoria.pdfMemoria del TFM1.66 MBAdobe PDFView/Open
alvaroantonTFM0617presentación.pdfPresetación del TFM1.24 MBAdobe PDFView/Open

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