Evaluation of Unsupervised Anomaly Detection Methods in Sentiment Mining

Abstract

Anomaly detection has vital role in data preprocessing and also in the mining of outstanding points for marketing, network sensors, fraud detection, intrusion detection, stock market analysis. Recent studies have been found to concentrate more on out