Abstract
Social Network (SN) is an online platform broadly used as communication tool by millions of users in order to build social relationships with others for knowledge point of view, career purposes and many more. Social Networks such as Twitter, Facebook, and LinkedIn have become the most leading tools on the web. Spam, floods the Internet with many copies of the same message and it can be manifest in numerous ways, it includes bulk messages, malicious links, fake friends, fraudulent reviews and personally identifiable information. The aim of this paper is to classify the tweets into spam and non-spam using Machine Learning and which will give the best results.
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Vidya Kumari, K.R., Kavitha, C.R. (2019). Spam Detection Using Machine Learning in R. In: Smys, S., Bestak, R., Chen, JZ., Kotuliak, I. (eds) International Conference on Computer Networks and Communication Technologies. Lecture Notes on Data Engineering and Communications Technologies, vol 15. Springer, Singapore. https://doi.org/10.1007/978-981-10-8681-6_7
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DOI: https://doi.org/10.1007/978-981-10-8681-6_7
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