Classification of Multi-Labeled Text Articles with Reuters Dataset using SVM-Reference-Cited by-同舟云学术

Classification of Multi-Labeled Text Articles with Reuters Dataset using SVM

Published:2022-02-03 Issue: Volume: Page:
ISSN:
Container-title:2022 International Conference on Science and Technology (ICOSTECH)
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Author:

Hasan Sakib Al¹,Hussain Md Gulzar²,Protim Joy³,Rahman Md Mostafizur⁴,Fahim Nawshad³,Chowdhury Mehrab Zaman⁵,Pritom Ahmed Iqbal⁵

Affiliation:

1. Intelligent Information Processing Technology, Huzhou University,China

2. School of Computer Science and Artificial Intelligence, Changzhou University,Changzhou,Jiangsu,China

3. Green University of Bangladesh,Department of Computer Science and Engineering,Dhaka,Bangladesh

4. College of Information Engineering,Department of Software Engineering,Yangzhou University,China

5. Islamic University of Technology,Department of Computer Science and Engineering,Bangladesh

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9829018/9828805/09829153.pdf?arnumber=9829153

Reference17 articles.

1. An Efficient and Unique TF/IDF Algorithmic Model-Based Data Analysis for Handling Applications with Big Data Streaming

2. Rethinking Complex Neural Network Architectures for Document Classification

3. Convolutional Neural Networks for Sentence Classification

4. Deep Learning for Extreme Multi-label Text Classification

5. Pd-sparse: A primal and dual sparse approach to extreme multiclass and multilabel classification;yen;Proceedings of the 33rd International Conference on International Conference on Machine Learning - Volume 48 ser ICML'16 JMLR org,0

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