Empirical Study of Online News Classification Using Machine Learning Approaches-Reference-Cited by-同舟云学术

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Empirical Study of Online News Classification Using Machine Learning Approaches

Published:2018-10 Issue: Volume: Page:
ISSN:
Container-title:2018 IEEE 12th International Conference on Application of Information and Communication Technologies (AICT)
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Author:

Suleymanov Umid,Rustamov Samir,Zulfugarov Murad,Orujov Orkhan,Musayev Nadir,Alizade Azar

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8742689/8746911/08747012.pdf?arnumber=8747012

Cited by 6 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Indonesian GDP movement detection using online news classification;Statistical Journal of the IAOS;2024-08-27

2. Classification of News Category Using Contextual Features;2024 International Conference on Knowledge Engineering and Communication Systems (ICKECS);2024-04-18

3. Comparative Study of Deep Learning Models for Document Classification;2023 9th International Conference on Smart Computing and Communications (ICSCC);2023-08-17

4. Improving Recidivism Forecasting With a Relaxed Naïve Bayes Classifier;Crime & Delinquency;2023-07-17

5. Performance Comparison of Different Machine Learning Classifiers in Categorizing Bangla News Articles;2022 4th International Conference on Natural Language Processing (ICNLP);2022-03

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