A New Framework for Social Media Content Mining and Knowledge Discovery

Social media has come up with many popular websites such as Facebook, Twitter, Instagram, LinkedIn etc for the use of the generation to share each other’s views. Social Media Content Mining is the process of extracting useful information i.e. Text, Video, Audio, Images from the Web by applying Data Mining techniques such as classification, clustering, regression, Outlier Detection and association rules etc can be applied to discover knowledge from web data. This paper presents some existing social media content mining techniques and proposed a new approach for efficient Data Mining frame work to extract useful knowledge from the web data.