Extracting 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

Tomomi Watanabe, Shuntaro Yada, Eiji Aramaki, Hiroshi Yajima, Hayato Kizaki, Satoko Hori

Research output: Contribution to journal › Article › peer-review

2 Citations (Scopus)

Fingerprint

Dive into the research topics of 'Extracting 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'. Together they form a unique fingerprint.

Medicine & Life Sciences