ABSTRACT
The paper focuses on the study of new algorithmic approaches to detect possible riots that may occur. In this paper, we have come up with a new approach that can be implemented successfully to mitigate the problem addressed. Dataset has been prepared by collecting data from various social media and microblogging sites using the Apriori algorithm, Association Rule Learning algorithm, and Data Mining Algorithm. The dataset is then preprocessed and is used for Model Training. Classification Algorithms are executed on the preprocessed dataset aiding in the training process of the model. The trained model now attempts to detect the probability of possible riots.
