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For Twitter Spam Detection We used machine learning approach and classifiers like Naive Bayes, Random Forest, Support Vector Machine(SVM) . Classification is based on Content Based features like Hashtages,Replies and Mentions etc And User Based feature like Reputation Score.

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vihanga-bandara/Classifier-Approach-Towards-Twitter-Spam-Detection

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Classifier-Approach-Towards-Twitter-Spam-Detection

For Twitter Spam Detection We used machine learning approach and classifiers like Naive Bayes, Random Forest, Support Vector Machine(SVM) . Classification is based on Content Based features like Hashtages,Replies and Mentions etc And User Based feature like Reputation Score.

Requirments: Scikit-learn, Matplotlib libraries ,scipy

To have Complete reference visit :- https://www.slideshare.net/AyushChhangani/classifier-approach-towards-twitter-spam-detection

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For Twitter Spam Detection We used machine learning approach and classifiers like Naive Bayes, Random Forest, Support Vector Machine(SVM) . Classification is based on Content Based features like Hashtages,Replies and Mentions etc And User Based feature like Reputation Score.

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