Sentiment Analysis, Emotion Mining & Authentication Methods in Hadoop: A Survey of Approaches

Abstract: With explosion of data, there is a need of finding new techniques to find patterns deep hidden for making key decisions. These patterns reveal significant information beneficial to organizations. Storing and efficient processing such “Big Data” for multiple organisations is a challenge. In this paper, a few approaches for analyzing big data for sentiment analysis and emotion mining are dicussed along with a few authentication models for processing frameworks to isolate analysis jobs of multiple users.

Keywords: Emotion Mining, Hadoop, Kerberos Authentication, MapReduce, Sentiment Analysis, Apache Spark, Apache Mahout.