Social media (SM) facts affords a massive document of humanity’s ordinary thoughts, emotions, and movements at a resolution formerly unimaginable. Because person conduct on SM is a reflection of activities within the actual global, researchers have realized they could use SM that allows you to forecast, making predictions approximately the destiny. The gain of SM information is its relative ease of acquisition, massive quantity, and potential to seize socially relevant facts, which may be hard to collect from other statistics sources. User’s contribution in social media is very essential and it's miles taken into consideration as a precious useful resource. With the rapid boom of social media, Twitter has come to be one of the most broadly adopted systems for people to post short and instantaneous messages. Because of such extensive adoption of Twitter, activities like breaking news and launch of famous movies can without difficulty seize humans’ attention and unfold swiftly on Twitter. Therefore, the recognition and significance of an event may be approximately gauged through the volume of tweets overlaying the occasion. In this paper, examines the effect of the twitter and mainly focuses on the manner the ranking model used to prioritize the person facts. The proposed approach detects the trending topics of the real-time Twitter trends along with ranking the top terms and hashtags. The paper further discusses the motivation for trend prediction over the social media.

Social Media, Twitter, Ranking Model, User Data, Posts, Trend Analysis, microblogging.