Cloud-Native Big Data Streaming Framework for Real-Time Social Media Intelligence and Large-Scale Public Opinion Analytics

People share their opinions on social media every day. During big events like elections, disasters, or public announcements, these opinions can change very fast. Older systems usually store this information first and analyze it later. Because of this delay, it becomes difficult to understand what people think at the right time. This paper presents a cloud-based system that studies social media posts right after they are shared. The system collects many posts, finds common opinions as they appear, and creates clear summaries. These summaries help leaders and organizations respond more quickly. The system is designed to handle a large number of posts, stay steady during busy times, and continue working even if part of the system has problems. The system combines data collection, opinion tracking, and stable operation into one simple design. Test results show that it can process large amounts of data with very little delay while remaining reliable. This makes social media a useful source for understanding public opinion when fast action is needed most.