“…This goes along the way of the system stack starting from logging [18] and machine learning techniques [21] to indexing [5], [7], [42], [43] and designing a SQL-like query language interface [24]. In addition, several efforts have focused on analyzing microblog data, which include semantic and sentiment analysis [3], [28], [30], decision making [6], news extraction [35], event and trend detection [1], [19], [27], [34], [37], understanding the characteristics of microblog posts and search queries [22], [33], microblogs ranking [11], [39], and recommending users to follow or news to read [14], [32].…”