@inproceedings{cbc31648783b41e48d3538a82ecfb005,
title = "Mapping the Emotional Journey of STD patients in Online Forums",
abstract = "People inflicted with diseases such as STDs experience a tremendous number of varying emotions from the onset of symptoms to being cured/living with it. Leveraging the power of bidirectional encoder representation transformers our study builds a custom-named entity recognition model which identifies uniquely associated emotions at various stages of the disease. Our study uses over 1 million posts derived from online communities regarding STDs. We further provide analytical insights into varying emotions at different stages based on contextual reasonings. Finally, we utilize the resulting insights to produce prescriptive measures for future online recommendation systems on online communities, and for stakeholders hoping to build devices that address problems about stigmatized disorders such as STDs.",
keywords = "Machine Learning, Named Entity Recognition, Online Reviews, STD",
author = "Thimmanayakanapalaya, \{Sagarika Suresh\} and Raj Sharman and Pavankumar Mulgund and Lakshmi Prithika and Harshada Samant",
note = "Publisher Copyright: {\textcopyright} 2023 29th Annual Americas Conference on Information Systems, AMCIS 2023. All rights reserved.; 29th Annual Americas Conference on Information Systems: Diving into Uncharted Waters, AMCIS 2023 ; Conference date: 10-08-2023 Through 12-08-2023",
year = "2023",
language = "English",
series = "29th Annual Americas Conference on Information Systems, AMCIS 2023",
publisher = "Association for Information Systems",
booktitle = "29th Annual Americas Conference on Information Systems, AMCIS 2023",
address = "United States",
}