Feedback analysis of unstructured data from collabrative networking a BigData analytics approach

With the massive proliferation of online applications and cloud resources, there is a tremendous hike in usage of social networking platforms. Right from entrepreneur, players, politicians, students, or anyone are highly depending on social networking sites, which generates loads of massive data that are not only challenging but also highly impossible to understand. The prime reason behind this is Big data is massive in size and they are highly unstructured. Because of this fact, the proposed system attempts to understand the possibility of performing knowledge discovery process from Big Data using conventional data mining algorithms. Designed in Java considering massive number of online educational data from social networking sites, the proposed system evaluates the effectiveness of performing data clustering and datamining for Big data.