Social media analytics have gained foremost attention (Tsantarliotis & Pitoura, 2017) since last couple of years in researcher’s world for sentiment analysis (Kane et al., 2014) and opinion mining (Maynard et al., 2012). Researchers are more focused on real-time data (Jose & Chooralil, 2015), by using streaming application programming interface (API) of social media platforms like twitter (Tweepy, ), facebook, reddit, etc. to grasp the current trends and public opinions. Social media networking portals are operating on ideology of web 2.0 that defines that data would be created and updated by the users in collaborative manner rather than just being published by individuals who owns it (Kaplan & Haenlein, 2010). Therefore social media data are vague and not bound by any rule or specified formats (Hogenboom et al., 2011), so the research on this data arises the need of some framework to better define the steps of processing and could minimize the complexities in the research.