Associating colours with emotions detected in social media tweets

Robert Harvey; Andrew Muncey; Neil Vaughan

Associating colours with emotions detected in social media tweets

Robert Harvey, Andrew Muncey, Neil Vaughan

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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.

Original language	English
Title of host publication	Proceedings of AISB Annual Convention 2018
Publisher	The Society for the Study of Artificial Intelligence and the Simulation of Behaviour (AISB)
Pages	5-8
Number of pages	4
Publication status	Published - 6 Apr 2018
Event	AISB Annual Convention 2018 - University of Liverpool, Liverpool, United Kingdom Duration: 4 Apr 2018 → 6 Apr 2018

Conference

Conference	AISB Annual Convention 2018
Country/Territory	United Kingdom
City	Liverpool
Period	4/04/18 → 6/04/18

Access to Document

https://chesterrep.openrepository.com/handle/10034/621018Licence: CC BY-NC-ND

Cite this

@inproceedings{b1417e96c2034a0f8731702b3dd983ed,

title = "Associating colours with emotions detected in social media tweets",

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.",

author = "Robert Harvey and Andrew Muncey and Neil Vaughan",

year = "2018",

month = apr,

day = "6",

language = "English",

pages = "5--8",

booktitle = "Proceedings of AISB Annual Convention 2018",

publisher = "The Society for the Study of Artificial Intelligence and the Simulation of Behaviour (AISB)",

note = "AISB Annual Convention 2018 ; Conference date: 04-04-2018 Through 06-04-2018",

}

Harvey, R, Muncey, A & Vaughan, N 2018, Associating colours with emotions detected in social media tweets. in Proceedings of AISB Annual Convention 2018. The Society for the Study of Artificial Intelligence and the Simulation of Behaviour (AISB), pp. 5-8, AISB Annual Convention 2018, Liverpool, United Kingdom, 4/04/18. <https://chesterrep.openrepository.com/handle/10034/621018>

TY - GEN

T1 - Associating colours with emotions detected in social media tweets

AU - Harvey, Robert

AU - Muncey, Andrew

AU - Vaughan, Neil

PY - 2018/4/6

Y1 - 2018/4/6

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?eid=2-s2.0-85056883967&partnerID=MN8TOARS

M3 - Conference contribution

SP - 5

EP - 8

BT - Proceedings of AISB Annual Convention 2018

PB - The Society for the Study of Artificial Intelligence and the Simulation of Behaviour (AISB)

T2 - AISB Annual Convention 2018

Y2 - 4 April 2018 through 6 April 2018

ER -

Associating colours with emotions detected in social media tweets

Abstract

Conference

Access to Document

Other files and links

Fingerprint

Cite this