Longitudinal analysis of discussion topics in an online breast cancer community using convolutional neural networks

Abstract

Identifying topics of discussions in online health communities (OHC) is critical to various information extraction applications, but can be difficult because topics of OHC content are usually heterogeneous and domain-dependent. In this paper, we provide a multi-class schema, an annotated dataset, and supervised classifiers based on convolutional neural… (More)
DOI: 10.1016/j.jbi.2017.03.012

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Cite this paper

@article{Zhang2017LongitudinalAO, title={Longitudinal analysis of discussion topics in an online breast cancer community using convolutional neural networks}, author={Shaodian Zhang and Edouard Grave and Elizabeth Sklar and No{\'e}mie Elhadad}, journal={Journal of biomedical informatics}, year={2017}, volume={69}, pages={1-9} }