Dataset in support of the publication 'ConversationMoC: encoding conversational dynamics using multiplex network for identifying moment of change in mood and mental health classification'
Dataset in support of the publication 'ConversationMoC: encoding conversational dynamics using multiplex network for identifying moment of change in mood and mental health classification'
This dataset contains human annotated Reddit post IDs coded for (a) moment of change in user mood and (b) mental health disorder classification. Dataset contains 11,841 unique users, 963 target user conversation timelines over 12 months and a total of 28,659 posts. Post annotations are serialized in JSON format. Post details (text, username, timestamp) will need to be downloaded directly from Reddit via gthe Reddit API using the Reddit post ID's provided. Full details can be found in the paper and readme of the associated github site.
NLP, Mental Health
University of Southampton
Middleton, Stuart
404b62ba-d77e-476b-9775-32645b04473f
Middleton, Stuart
404b62ba-d77e-476b-9775-32645b04473f
Middleton, Stuart
(2024)
Dataset in support of the publication 'ConversationMoC: encoding conversational dynamics using multiplex network for identifying moment of change in mood and mental health classification'.
University of Southampton
doi:10.5281/zenodo.10711636
[Dataset]
Abstract
This dataset contains human annotated Reddit post IDs coded for (a) moment of change in user mood and (b) mental health disorder classification. Dataset contains 11,841 unique users, 963 target user conversation timelines over 12 months and a total of 28,659 posts. Post annotations are serialized in JSON format. Post details (text, username, timestamp) will need to be downloaded directly from Reddit via gthe Reddit API using the Reddit post ID's provided. Full details can be found in the paper and readme of the associated github site.
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More information
Published date: 15 March 2024
Keywords:
NLP, Mental Health
Identifiers
Local EPrints ID: 488112
URI: http://eprints.soton.ac.uk/id/eprint/488112
PURE UUID: 9a9b817a-9971-4c46-bf28-ca2e5d61d653
Catalogue record
Date deposited: 15 Mar 2024 17:55
Last modified: 18 Mar 2024 02:53
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