Abstract
Growing technological development is making our daily purchases totally online based. People are no more interested to visit shops and waste time to buy things. Moreover, they prefer online shopping. Because it saves time and has almost everything people need in daily basis. Therefore, many tool and techniques have been developed to prevent fraud for e-commerce sites and more are under development. Being a social networking website Facebook is also acting as an online market place for many people. This research proposes a method to prevent fraud and identify fraud business pages. Because nowadays a lot of frauds are happening through many Facebook business pages, it is important to identify fraud pages.
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Acknowledgements
We are especially thankful to DIU-NLP Lab for their support and help. It was a great honor working with this LAB and those hard working people. Without their help maybe we could not make it this far. We wish their success and growth.
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Nasrin, S., Ghosh, P., Chowdhury, S.M.M.H., Abujar, S., Hossain, S.A. (2020). Fraud Detection of Facebook Business Page Based on Sentiment Analysis. In: Uddin, M.S., Bansal, J.C. (eds) Proceedings of International Joint Conference on Computational Intelligence. Algorithms for Intelligent Systems. Springer, Singapore. https://doi.org/10.1007/978-981-13-7564-4_25
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DOI: https://doi.org/10.1007/978-981-13-7564-4_25
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