WTL-CNN: a news text classification method of convolutional neural network based on weighted word embedding-Reference-Cited by-同舟云学术

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WTL-CNN: a news text classification method of convolutional neural network based on weighted word embedding

Published:2022-08-29 Issue:1 Volume:34 Page:2291-2312
ISSN:0954-0091
Container-title:Connection Science
language:en
Short-container-title:Connection Science

Author:

Zhao Weidong¹,Zhu Lin¹,Wang Ming²,Zhang Xiliang³,Zhang Jinming⁴

Affiliation:

1. College of Computer Science and Engineering, Shandong University of Science and Technology, Qingdao, People’s Republic of China

2. Qingdao Customs Technology Center, Qingdao, People’s Republic of China

3. Shandong Expressway Information Group Co., Ltd., Jinan, People’s Republic of China

4. Shandong Qilu Electronic Tendering and Procurement Service Co., Ltd., Jinan, People’s Republic of China

Publisher

Informa UK Limited

Subject

Artificial Intelligence,Human-Computer Interaction,Software

Link

https://www.tandfonline.com/doi/pdf/10.1080/09540091.2022.2117274

Reference47 articles.

1. Emotional Text Analysis Based on Ensemble Learning of Three Different Classification Algorithms

2. The sentiments of open financial information, public mood and stock returns: an empirical study on Chinese growth enterprise market

3. Web page classification based on a support vector machine using a weighted vote schema

4. A Long-Text Classification Method of Chinese News Based on BERT and CNN

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