Microblogs data, e.g., tweets, reviews, news comments, and social media comments, has gained considerable attention in recent years due to its popularity and rich contents. Nowadays, microblogs applications span a wide spectrum of interests, including analyzing events and users activities and critical applications like discovering health issues and rescue services. Consequently, major research efforts are spent to manage, analyze, and visualize microblogs data to support different applications. This talk gives a survey overview about microblogs data management and analysis. The talk gives a comprehensive review for research on core data management components to support microblogs queries at scale. In addition, the talk reviews research on microblogs data analysis, including detecting and analyzing events, sentiment analysis, semantic analysis, user analysis, geotagging, and recommendations. Through its different parts, the talk highlights the challenges and opportunities in microblogs data research.

Prof. Amr Magdy