Data collection and analytics strategies of social networking websites

Abstract

Automated data collection of social networking Web sites plays an important role in decision making. It is very important to know that the Web sites like Twitter, Facebook, YouTube, Pin interest, etc. are becoming vital components of social life at present. In any research problem the mass impact on various issues can be analyzed by analyzing the data generated from these Web sites. Moreover, these social platforms are open and widely used for view sharing. Here various tools and strategies have been evaluated to collect the data from these Web sites and the analytic perspectives have also been shown. The tools and strategy shared here can prove very helpful for those who opt this open area of research. The capabilities of sentiment analysis extend to the number of real life decisions like health issues in society, or the customer reactions, etc. In this paper data collection techniques have been illustrated with the help of live implementation.