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Please use this identifier to cite or link to this item: https://dspace.lboro.ac.uk/2134/16454

Title: Twitter based analysis of public, fine-grained emotional reactions to significant events
Authors: Sykora, Martin D.
Jackson, Thomas
O'Brien, Ann
Elayan, Suzanne
Von Lunen, Alexander
Keywords: Social media
Sentiment analysis
Basic emotions
Natural language processing
Issue Date: 2014
Publisher: Academic Conferences and Publishing International Limited / © The Authors
Citation: SYKORA, M.D. ... et al, 2014. Twitter based analysis of public, fine-grained emotional reactions to significant events. IN: Rospigliosi, A. and Greener, S. (eds). Proceedings of the European Conference on Social Media ECSM 2014, 10th-11th July 2014, University of Brighton, UK. Academic Conferences and Publishing International Limited, pp. 540 - 548.
Abstract: Due to the real-time nature and the value of social media content for monitoring entities and events of significance, automated sentiment analysis and semantic enrichment techniques for social media streams have received considerable attention in the literature. These techniques are central to monitoring social-media content, which is now becoming a significant business with commercial, institutional, governmental and law enforcement interest into its applications. Prior work in sentiment analysis especially has focused mostly on negative-positive sentiment classification tasks. Although numerous approaches employ highly elaborate and effective techniques with some success, the sentiment or emotion granularity is generally limiting and arguably not always most appropriate for real-world problems. In this paper a newly developed ontology based system is employed, to semantically enrich Tweets with fine-grained emotional states, in order to analyse the subjective public reactions to a wide selection of recent events. The approach detects a range of eight high-level emotions and their perceived strength (also known as activation level), specifically; anger, confusion, disgust, fear, happiness, sadness, shame and surprise. A set of emotional profiles for different events is obtained and an in-depth analysis of the emotional responses is presented. Recent events, such as the 2013 horsemeat scandal, Nelson Mandela’s death, September 11th remembrance anniversary, recent tube strikes in London are analysed and discussed. The feasibility and potential benefits of automated fine-grained emotional event response analysis from social-media is illustrated and further, future work suggested.
Description: This is a conference paper.
Version: Accepted for publication
URI: https://dspace.lboro.ac.uk/2134/16454
Publisher Link: http://academic-conferences.org/ecsm/ecsm2014/ecsm14-proceedings.htm
ISBN: 9781910309285
ISSN: 2055-7213
Appears in Collections:Conference Papers (Business School)

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