Associating Colours with Emotions Detected in Social Media Tweets

Hdl Handle:
http://hdl.handle.net/10034/621018
Title:
Associating Colours with Emotions Detected in Social Media Tweets
Authors:
Harvey, R.; Muncey, A.; Vaughan, N.
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.
Affiliation:
University of Chester
Citation:
Harvey, R., Muncey, A. & Vaughan, N. (2018-forthcoming). Associating Colours with Emotions Detected in Social Media Tweets. In Proceedings of Artificial Intelligence and Simulation of Behaviour (AISB2018). The Society for the Study of Artificial Intelligence and Simulation for Behaviour (AISB).
Publisher:
The Society for the Study of Artificial Intelligence and Simulation for Behaviour (AISB)
Journal:
Proceedings of Artificial Intelligence and Simulation of Behaviour (AISB2018)
Publication Date:
6-Apr-2018
URI:
http://hdl.handle.net/10034/621018
Type:
Meetings and Proceedings
Language:
en
ISSN:
NA
Appears in Collections:
Computer Science

Full metadata record

DC FieldValue Language
dc.contributor.authorHarvey, R.en
dc.contributor.authorMuncey, A.en
dc.contributor.authorVaughan, N.en
dc.date.accessioned2018-03-23T12:26:20Z-
dc.date.available2018-03-23T12:26:20Z-
dc.date.issued2018-04-06-
dc.identifier.citationHarvey, R., Muncey, A. & Vaughan, N. (2018-forthcoming). Associating Colours with Emotions Detected in Social Media Tweets. In Proceedings of Artificial Intelligence and Simulation of Behaviour (AISB2018). The Society for the Study of Artificial Intelligence and Simulation for Behaviour (AISB).en
dc.identifier.issnNA-
dc.identifier.urihttp://hdl.handle.net/10034/621018-
dc.description.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.en
dc.language.isoenen
dc.publisherThe Society for the Study of Artificial Intelligence and Simulation for Behaviour (AISB)en
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/en
dc.subjectText Analysisen
dc.subjectdata miningen
dc.titleAssociating Colours with Emotions Detected in Social Media Tweetsen
dc.typeMeetings and Proceedingsen
dc.contributor.departmentUniversity of Chesteren
dc.identifier.journalProceedings of Artificial Intelligence and Simulation of Behaviour (AISB2018)en
dc.identifier.urlhttp://www.aisb.org.uk/aisbpublications/93-aisb/publications/proceedings/91-
dc.date.accepted2018-02-01-
or.grant.openaccessYesen
rioxxterms.funderRoyal Academy of Engineeringen
rioxxterms.identifier.projectCSIS17/03en
rioxxterms.versionAMen
rioxxterms.licenseref.startdate2018-04-06-
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