Researchers have developed software that analyzes social media trends and analyzes the background of event-based Weibo and Weibo, not just quantity. The program will help Twitter analysts gain better insight into human behavior and event-related trends. "The Twitter trend and labeling will only make a part of your story almost relevant," said Sean Gerkins, an assistant professor of learning technology at the School of Information Science and Technology and the University of Missouri-Kansas.
"Analyzing microblogging is about connecting to an action or event. Finding a specific word at the beginning of microblogging gives us a better indication of what happened, rather than just looking at the label," he said. Hot Topics On social media platforms, Twitter shows the amount of information associated with a particular event. However, the keyword with the highest amount of trend display may not give its own specific information. Using series of Super Bowls and world-related data, researchers have developed a software that analyzes microblogging based on word found.
By programming a word bag or tag, they think that the Super Bowl will be related to the world's software, analyzing the vocabulary and their location in the 140-character microblog. "The software is able to detect more subtle events in Weibo," added. This method can help the authorities investigate, like the causes of major events, and help predict future events.
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