Associating colours with emotions detected in social media tweets

Robert Harvey, Andrew Muncey, Neil Vaughan

    Research output: Chapter in Book/Report/Conference proceedingConference 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 languageEnglish
    Title of host publicationProceedings of AISB Annual Convention 2018
    PublisherThe Society for the Study of Artificial Intelligence and the Simulation of Behaviour (AISB)
    Pages5-8
    Number of pages4
    Publication statusPublished - 6 Apr 2018
    EventAISB Annual Convention 2018 - University of Liverpool, Liverpool, United Kingdom
    Duration: 4 Apr 20186 Apr 2018

    Conference

    ConferenceAISB Annual Convention 2018
    CountryUnited Kingdom
    CityLiverpool
    Period4/04/186/04/18

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  • Cite this

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