Crime mitigation at Twitter using Big Data analytics and risk modelling

Abstract

This paper focuses on a method to obtain sentiments of people from twitter and using it to analyze whether they can become threat to particular person or society. Machine learning is one of the technologies which is used for decision making and also make predictions by learning more from dataset. Since huge amount of data is streaming very fast, it needs to be classified in short duration. In this paper we aim to achieve faster classification by using Big Data with Naïve Bayes Classifier. We have demonstrated this by using HIVE to store and process data.