Performance Comparison of Machine Learning Classifiers for Fake News Detection-Reference-Cited by-同舟云学术

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Performance Comparison of Machine Learning Classifiers for Fake News Detection

Published:2020-07 Issue: Volume: Page:
ISSN:
Container-title:2020 Second International Conference on Inventive Research in Computing Applications (ICIRCA)
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Author:

Smitha N.,Bharath R.

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9169741/9182787/09183072.pdf?arnumber=9183072

Cited by 37 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. A Comparative Study of Machine Learning Models for Detecting Fake News Content in Bahasa Indonesia Online Media;2024 International Conference on Smart Computing, IoT and Machine Learning (SIML);2024-06-06

2. Evaluating Machine Learning Approaches for Detecting Fake News on Social Media;2024-05-08

3. Comparative Study of Bank Customers Churn Prediction using AI/ML;2024 IEEE 13th International Conference on Communication Systems and Network Technologies (CSNT);2024-04-06

4. Fake news detection: Taxonomy and comparative study;Information Fusion;2024-03

5. Assessment of bidirectional transformer encoder model and attention based bidirectional LSTM language models for fake news detection;Journal of Retailing and Consumer Services;2024-01

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