A Survey on Anomaly Detection for Discovering Emerging Topics?

This paper identifies various concepts involved in social networks for finding the emerging topics. We focus on the various methods that can be applied for detecting the anomaly. The methods used are Hidden Markov Model, UMass Approach, CMU Approach, Change Finder method and Finite Mixture Model. These methods involve texts, videos, audios, URLs and mentions which are shared in the social networks. Kullback- Leibler divergence measure is used here to discover coherent themes and topics over time.