Unveiling the potentials and limitations of Sentiment analysis algorithms to study news media
Here you will find some outputs of my research on the use of sentiment analysis algorithms to study news coverage of events.
Here you will find some outputs of my research on the use of sentiment analysis algorithms to study news coverage of events.
This research project aimed at exploring the ways in which the legacy of the 2012 London Summer Olympic Games has been narrated by news organisations, government websites and activist blogs. This study was conducted as part of a placement at the British Library (UK Web Archive - UKWA) under the project CLEOPATRA.
This study was conducted during my Master’s in Communication at the Universidade Federal de Pernambuco (UFPE - Brazil), and a Fellowship placement at the Center for Advanced Internet Studies (CAIS - Germany). It explores the use of Facebook Events by Occupy Movements in Brazil to promote engagement in demonstrations on the streets
Published in Journal 1, 2010
This paper is about the number 2. The number 3 is left for future work.
Recommended citation: Your Name, You. (2010). "Paper Title Number 2." Journal 1. 1(2). http://academicpages.github.io/files/paper2.pdf
Published in Journal 1, 2015
This paper is about the number 3. The number 4 is left for future work.
Recommended citation: Your Name, You. (2015). "Paper Title Number 3." Journal 1. 1(3). http://academicpages.github.io/files/paper3.pdf
Published in IEEE Access, 2022
The purpose of this study is to analyse COVID-19 related news published across different geographical places, in order to gain insights in reporting differences. We performed pooling of news articles based on information retrieval using TF-IDF score in a data processing step and topic modeling using LDA with combination of 1 to 6 ngrams. We used VADER sentiment analyzer to explore the differences in sentiments in news articles reported across different geographical places.
Recommended citation: A. Sittar, D. Major, C. Mello, D. Mladenić and M. Grobelnik, "Political and Economic Patterns in COVID-19 News: From Lockdown to Vaccination," in IEEE Access , vol. 10, pp. 40036-40050, 2022, doi: 10.1109/ACCESS.2022.3164692. https://ieeexplore.ieee.org/document/9749092/
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Undergraduate course, University 1, Department, 2014
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Workshop, University 1, Department, 2015
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