Classification of search keywords and implementation of a recommender system

In connection with social networks becoming a great part of our lives, the amount of data produced and the production rate of data have been increased enormously. New technological solutions are required to analyze the social data due to data volume. In this thesis, we have implemented a web application, DeuSocial, which collects data from the social networks, performs temporal analysis on the data and visualizes this analysis. In this context, Hadoop map-reduce architecture and Twitter API are utilized to collect and analyze data. This social media analysis web application is developed for the field of big-data. As a result of this thesis a web application is created that analysis social twitter data and creates different types of visual reports by using big data infrastructure.