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Authors: David Pope and Josephine Griffith

Affiliation: National University of Ireland Galway, Ireland

Keyword(s): Social Media Analysis, Sentiment Analysis, Refugee Crisis.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; BioInformatics & Pattern Discovery ; Information Extraction ; Knowledge Discovery and Information Retrieval ; Knowledge-Based Systems ; Mining Multimedia Data ; Software Development ; Symbolic Systems ; Visual Data Mining and Data Visualization

Abstract: Using existing natural language and sentiment analysis techniques, this study explores different dimensions of mood states of tweet content relating to the refugee crisis in Europe. The study has two main goals. The first goal is to compare the mood states of negative emotion, positive emotion, anger and anxiety across two populations (English and German speaking). The second goal is to discover if a link exists between significant real-world events relating to the refugee crisis and online sentiment on Twitter. Gaining an insight into this comparison and relationship can help us firstly, to better understand how these events shape public attitudes towards refugees and secondly, how online expressions of emotion are affected by significant events.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Pope, D. and Griffith, J. (2016). An Analysis of Online Twitter Sentiment Surrounding the European Refugee Crisis. In Proceedings of the 8th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2016) - KDIR; ISBN 978-989-758-203-5; ISSN 2184-3228, SciTePress, pages 299-306. DOI: 10.5220/0006051902990306

@conference{kdir16,
author={David Pope. and Josephine Griffith.},
title={An Analysis of Online Twitter Sentiment Surrounding the European Refugee Crisis},
booktitle={Proceedings of the 8th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2016) - KDIR},
year={2016},
pages={299-306},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006051902990306},
isbn={978-989-758-203-5},
issn={2184-3228},
}

TY - CONF

JO - Proceedings of the 8th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2016) - KDIR
TI - An Analysis of Online Twitter Sentiment Surrounding the European Refugee Crisis
SN - 978-989-758-203-5
IS - 2184-3228
AU - Pope, D.
AU - Griffith, J.
PY - 2016
SP - 299
EP - 306
DO - 10.5220/0006051902990306
PB - SciTePress

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