Threat analysis is the one of the crucial issue arising now days. This study digs into social media threats analysis specifically focuses on twitter data. It includes threat identification, network analysis, sentimental analysis to classify threats into the categories and its evaluation. Sentimental analysis is generally use to access the emotions behind tweets while threat is use to identify the harmfulness of tweet. Whereas network analysis is use to find the spread of tweet with its location and origin. This study provides a complete evaluation of threat severity by combining outcomes of sentiment, network, and threat findings of social media tweets. This investigation concludes the categorization of threats for preemptive risk management with visual representations that enables recognition for categorization.