A hybrid medical text classification framework: integrating attentive rule construction and neural network

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A hybrid medical text classification framework: integrating attentive rule construction and neural network

The main objective of this work is to improve the quality and transparency of the medical text classification solutions. Conventional text classification methods provide users with only a restricted mechanism (based on frequency) for selecting features. In this paper, a three-stage hybrid method com...

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Bibliographic Details
Main Authors:	Li, Xiang, Cui, Menglin, Li, Jingpeng, Bai, Ruibin, Lu, Zheng, Aickelin, Uwe
Format:	Article
Language:	English
Published:	2021
Subjects:	hybrid system; deep learning; attention mechanism; text classification
Online Access:	https://eprints.nottingham.ac.uk/65138/

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