Large-Scale Text Classification Using Scope-Based Convolutional Neural Network: A Deep Learning Approach

Large-Scale Text Classification Using Scope-Based Convolutional Neural Network: A Deep Learning Approach

Text classification is one of the most important and typical tasks in Natural Language Processing (NLP) which can be applied for many applications. Recently, deep learning approaches has shown their advantages in solving text classification problem, in which Convolutional Neural Network (CNN) is one...

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Bibliographic Details
Main Authors: Jiaying Wang, Yaxin Li, Jing Shan, Jinling Bao, Chuanyu Zong, Liang Zhao
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Text classification
deep learning
convolutional neural network
scope-based convolution
local feature
Online Access:https://ieeexplore.ieee.org/document/8913565/

Internet

https://ieeexplore.ieee.org/document/8913565/

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