Loading...
Associating Colours with Emotions Detected in Social Media Tweets
Harvey, Robert Muncey, Andrew Vaughan, Neil
Harvey, Robert
Muncey, Andrew
Vaughan, Neil
Advisors
Editors
Other Contributors
Affiliation
EPub Date
Publication Date
2018-04-06
Submitted Date
Collections
Files
Loading...
Main article
Adobe PDF, 267.87 KB
Other Titles
Abstract
This 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.
Citation
Harvey, 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.
Publisher
The Society for the Study of Artificial Intelligence and Simulation for Behaviour (AISB)
Journal
Research Unit
DOI
PubMed ID
PubMed Central ID
Type
Conference Contribution
Language
en
Description
Series/Report no.
ISSN
EISSN
ISBN
9781510872769