Type

Conference Proceedings

Authors

Andy Way
Pushpak Bhattacharyya
Asif Ekba
Mohammed Hasanuzzaman
Sabyasachi Kamila

Subjects

Computer Science

Topics
social media orientation classification decision making long memory machine translating temporal demographic

Fine-grained temporal orientation and its relationship with psycho-demographic correlates (2018)

Abstract Temporal orientation refers to an individual’s tendency to connect to the psychological concepts of past, present or future, and it affects personality, motivation, emotion, decision making and stress coping processes. The study of the social media users’ psychodemographic attributes from the perspective of human temporal orientation can be of utmost interest and importance to the business and administrative decision makers as it can provide an extra precious information for them to make informed decisions. In this paper, we propose a very first study to demonstrate the association between the sentiment view of the temporal orientation of the users and their different psycho-demographic attributes by analyzing their tweets. We first create a temporal orientation classifier in a minimally supervised way which classifies each tweet of the users in one of the three temporal categories, namely past, present, and future. A deep Bi-directional Long Short Term Memory (BLSTM) is used for the tweet classification task. Our tweet classifier achieves an accuracy of 78.27% when tested on a manually created test set. We then determine the users’ overall temporal orientation based on their tweets on the social media. The sentiment is added to the tweets at the fine-grained level where each temporal tweet is given a sentiment with either of the positive, negative or neutral. Our experiment reveals that depending upon the sentiment view of temporal orientation, a user’s attributes vary. We finally measure the correlation between the users’ sentiment view of temporal orientation and their different psychodemographic factors using regression.
Collections Ireland -> Dublin City University -> Publication Type = Conference or Workshop Item
Ireland -> Dublin City University -> DCU Faculties and Centres = DCU Faculties and Schools: Faculty of Engineering and Computing: School of Computing
Ireland -> Dublin City University -> DCU Faculties and Centres = Research Initiatives and Centres: ADAPT
Ireland -> Dublin City University -> Status = Published
Ireland -> Dublin City University -> Subject = Computer Science: Machine translating

Full list of authors on original publication

Andy Way, Pushpak Bhattacharyya, Asif Ekba, Mohammed Hasanuzzaman, Sabyasachi Kamila

Experts in our system

1
Andy Way
Dublin City University
Total Publications: 229
 
2
Mohammed Hasanuzzaman
Dublin City University
Total Publications: 9
 
3
Sabyasachi Kamila
Dublin City University
Total Publications: 3