Please use this identifier to cite or link to this item:
Title: Análisis de datos de Twitter en el Día Mundial de la Salud
Author: Vivancos García, Xavier
Tutor: Subirats Maté, Laia
Others: Pujol Jover, Maria
Melià-Seguí, Joan  
Keywords: data analysis
social media
data mining
Issue Date: 25-May-2018
Publisher: Universitat Oberta de Catalunya (UOC)
Abstract: The main objective of the project is to analyze tweets captured on World Health Day (April 7th) to tell a story through the data, using Twitter as the main source. The data is obtained through the streaming API of R. Once captured, we carry out statistical and descriptive analysis, as well as a sentiment analysis. We also construct and analyze the retweet network (most relevant users and tweets, metrics and properties of the network and visualization of the graph). Furthermore, we use wordclouds to display the most frequent words, and maps to visualize the most active countries on Twitter. Several of the analyzes are repeated for tweets written in English, Spanish and Catalan, so that we can assess possible differences.
Appears in Collections:Trabajos finales de carrera, trabajos de investigación, etc.

Files in This Item:
File Description SizeFormat 
xvivancosTFM0518memoria.pdfMemoria del TFM2,63 MBAdobe PDFThumbnail