Twitter Data Visualization using SVM (Machine Learning Approach)

Abstract

Abstract: Twitter produces a massive amount of data due to its popularity that is one of the reasons underlying big data problems. One of those problems is the classification of tweets due to use of sophisticated and complex language, which makes the current tools in- sufficient. We present our framework HTwitt, built on top of the Hadoop ecosystem, which consists of a MapReduce algorithm and a set of machine learning techniques embedded within a big data analytics platform to efficiently address the following problems. Keywords: Support Vector Machine (SVM), Machine learning, Big Data, MapReduce