Open AccessExtracting Multiple Worries From Breast Cancer Patient Blogs Using Multilabel Classification With the Natural Language Processing Model Bidirectional Encoder Representations From Transformers: Infodemiology Study of Blogs
Author(s) -
Tomomi Watanabe,
Shuntaro Yada,
Eiji Aramaki,
Hiroshi Yajima,
Hayato Kizaki,
Satoko Hori
Publication year - 2022
Publication title -
jmir cancer
Language(s) - English
Resource type - Journals
ISSN - 2369-1999
DOI - 10.2196/37840
Subject(s) - breast cancer , computer science , encoder , social media , classifier (uml) , concordance , artificial intelligence , worry , psychology , machine learning , natural language processing , medicine , cancer , world wide web , psychiatry , anxiety , operating system