There is a lot of interest in figuring out how to forecast online activity. Research on the possibility of automatic recognition of locations mentioned or mentioned in documents dates back decades. Twitter has attracted a massive audience, and every day, millions of people use it to broadcast their thoughts online. Twitter's tweets has given much attention as of late. Research into both loud and nature, presents number of difficulties. picture investigated instance, the location of a tweet may be predicted based on its content. Issues' reliance on text inputs is highlighted by providing an overview of tweet content and circumstances. In this study, we use methods Machine, and Decision Tree to estimate a based on a content.