COVID-19 Fake News Detection in Malaysia – A Supervised Approach

Author:

Kalaimagal Ramakrishnan1ORCID,Vimala Balakrishnan2ORCID,Mun Chong Soo2ORCID

Affiliation:

1. University of Nottingham Malaysia, Malaysia

2. University of Malaya, Malaysia

Publisher

ACM

Reference20 articles.

1. Random Forest and Support Vector Machine based Hybrid Approach to Sentiment Analysis

2. Amanpreet Singh , Thakur and Sharma , 2016 . A review of supervised machine learning algorithms , 2016 3rd International Conference on Computing for Sustainable Global Development (INDIACom) , pp. 1310 - 1315 . Amanpreet Singh, Thakur and Sharma, 2016. A review of supervised machine learning algorithms, 2016 3rd International Conference on Computing for Sustainable Global Development (INDIACom), pp. 1310-1315.

3. To share or not to share – The underlying motives of sharing fake news amidst the COVID-19 pandemic in Malaysia

4. Chandra and Bedi , 2020. Survey on SVM and their application in image classification,International Journal of Information Technology , vol. 13 . Chandra and Bedi, 2020. Survey on SVM and their application in image classification,International Journal of Information Technology, vol. 13.

5. Naıve (Bayes) at forty: The independence assumption in information retrieval;David Lewis;Journal of Machine Learning,1998

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