Associating Colours with Emotions Detected in Social Media Tweets
AffiliationUniversity of Chester
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AbstractThis project involves two major areas of work, the detection of emotions in text from Twitter posts (tweets), and the association of that emotion with colour. Emotion mining is the field of natural language processing which is concerned with the detection and classification. It is a subfield of semantic analysis which contains both emotion and opinion mining. Both tasks depend on an emotion model to classify detected emotions and to associate a colour depending on the location of the emotion in the model. This research paper demonstrates preliminary results from classification of tweets to assign emotion labels. Also designs are presented for a prototype web interface for displaying the assigned colour and emotion associated with tweets.
CitationHarvey, R., Muncey, A., & Vaughan, N. (2018). Associating colours with emotions detected in social media tweets. In Annual Convention of the Society for the Study of Artificial Intelligence and the Simulation of Behaviour: Proceedings of the AISB 2018 conference, 4-6 April 2018, University of Liverpool, Liverpool, United Kingdom (pp.245-248). Bath, United Kingdom: Society for the Study of Artificial Intelligence & Simulation of Behaviour.
TypeMeetings and Proceedings
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Except where otherwise noted, this item's license is described as http://creativecommons.org/licenses/by-nc-nd/4.0/