Please use this identifier to cite or link to this item:
http://hdl.handle.net/10609/66649
Title: | Explaining stock exchange prices using supervised learning and sentiment analysis |
Author: | Anton Blanco, Alvaro |
Tutor: | Subirats, Laia |
Others: | Universitat Oberta de Catalunya Pujol-Jover, Maria Sancho-Vinuesa, Teresa |
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. |
Keywords: | Big data business intelligence |
Document type: | info:eu-repo/semantics/masterThesis |
Issue Date: | Jun-2017 |
Publication license: | http://www.gnu.org/licenses/gpl.html |
Appears in Collections: | UOC Learning resources Recursos Educativos UOC Abiertos |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
alvaroantonTFM0617memoria.pdf | Memoria del TFM | 1,66 MB | Adobe PDF | View/Open |
alvaroantonTFM0617presentación.pdf | Presetación del TFM | 1,24 MB | Adobe PDF | View/Open |
Share:
Items in repository are protected by copyright, with all rights reserved, unless otherwise indicated.