References
- Agarwala, V. (., Sultanaa, H. (., Malhotra, S. (., & Sarkar, A. (. (2019). Analysis of Classifiers for Fake News Detection. 2ND INTERNATIONAL CONFERENCE ON RECENT TRENDS IN ADVANCED COMPUTING ICRTAC -DISRUP - TIV INNOVATION , 2019 (pp. 377-383). Vellore Inst Technol, Chennai Campus, Chennai, INDIA: Procedia Computer Science.
- Bai, X. (., & Zhang, Y. (. (2009). The Research on an Improved Fast SVM Classification Algorithm. 2nd International Symposium on Computational Intelligence and Design (pp. 300-303). Changsha, PEOPLES R CHINA: SECOND INTERNATIONAL SYMPOSIUM ON COMPUTATIONAL INTELLIGENCE AND DESIGN, VOL 2, PROCEEDINGS.
- de Menezes, F. (., Liska, G. (., Cirillo, M. (., & Vivanco, M. (. (2016). Data classification with binary response through the Boosting algorithm and logistic regression. EXPERT SYSTEMS WITH APPLICATIONS, 62-73.
- Gongane, V. (., Munot, M. (., & Anuse, A. (. (2024). A survey of explainable AI techniques for detection of fake news and hate speech on social media platforms. JOURNAL OF COMPUTATIONAL SOCIAL SCIENCE.
- Iqbal, A. (., Shahzad, K. (., Khan, S. (., & Chaudhry, M. (. (2023). The relationship of artificial intelligence (AI) with fake news detection (FND): a systematic literature review. Global Knowledge Memory and Communication.
- Obaido, G. (., Mienye, I. (., Egbelowo, O. (., Emmanuel, I. (., Ogunleye, A. (., Ogbuokiri, B. (., . .. Aruleba, K. (. (2024). Supervised machine learning in drug discovery and development: Algorithms, applications, challenges, and prospects. MACHINE LEARNING WITH APPLICATIONS Volume 17.
- PRISMA. (2020, March 27). PRISMA 2020 flow diagram. Retrieved from PRISMA statement: https://www.prisma-statement.org/prisma-2020-flow-diagram
- Ren, Q. (., Cheng, H. (., & Han, H. (. (2017). Research on Machine Learning Framework Based on
- Random Forest Algorithm. International Conference on Advances in Materials, Machinery, Electronics (AMME). Wuhan, PEOPLES R CHINA: AIP Conference Proceedings.
- Saravanan, R. (., & Sujatha, P. (. (2018). A State of Art Techniques on Machine Learning Algorithms: A Perspective of Supervised Learning Approaches in Data Classification. Proceedings of the 2018 Second International Conference on Intelligent Computing and Control Systems (ICICCS) (pp. 945-949). Vaigai Coll Engn, Madurai, INDIA: IEEE.
- Schonlau, M. (., & Zou, R. (. (2020). The random forest algorithm for statistical learning. Stata Journal, 3-29.
- Zhong, Z., Jin, L., & Huang, S. (2017). DeepText: A new approach for text proposal generation and text detection in natural images. 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). New Orleans, LA, USA: IEEE Xplore.