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What is Efficient Spam Detection in Social Networks about?

This paper surveys various efficient classifiers for detecting spam in social networks, highlighting the significant rise of social spam and its impact on user communication. It reviews existing detection techniques, focusing on machine learning approaches and their effectiveness in classifying spam messages based on user and content features. The study concludes that a combination of methods, including Decision Trees and SVM, can enhance spam detection accuracy, with future work aimed at improving classifi

Author

Madhur Mane

Language

EN