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.
|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)|
|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||AISB Annual Convention 2018|
|Period||4/04/18 → 6/04/18|
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).