A Classification Method for English Texts Based on Hybrid Recurrent Neural Network and Graph Construction in Social Recommendation Systems-Reference-Cited by-同舟云学术

A Classification Method for English Texts Based on Hybrid Recurrent Neural Network and Graph Construction in Social Recommendation Systems

Published:2023 Issue: Volume: Page:1-8
ISSN:1932-8184
Container-title:IEEE Systems Journal
language:
Short-container-title:IEEE Systems Journal

Author:

Wen Jue¹,Liu Pengyuan²^ORCID

Affiliation:

1. School of Foreign Languages, Hubei University of Economics, Wuhan, China

2. School of Information Engineering, Hubei University of Economics, Wuhan, China

Funder

Hubei University of Economics

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Control and Systems Engineering,Computer Networks and Communications,Computer Science Applications,Information Systems

Link

http://xplorestaging.ieee.org/ielx7/4267003/4357939/10158781.pdf?arnumber=10158781

Reference30 articles.

1. A Survey on Data Augmentation for Text Classification

2. On the cost-effectiveness of neural and non-neural approaches and representations for text classification: A comprehensive comparative study

3. Text categorization: past and present

4. Deep Learning-Based Classification of News Texts Using Doc2Vec Model

5. Text Classification Based on Convolutional Neural Networks and Word Embedding for Low-Resource Languages: Tigrinya

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