An Efficient Approach to Detect and Track Breaking News on Twitter
Twitter is an intriguing stage for the scattering of news. The constant nature and curtness of the tweets are helpful for sharing of data identified with critical occasions as they unfurl. Yet, one of the best difficulties is to discover the tweets that we can portray as news in the sea of tweets. In this paper, we propose a novel technique for recognizing and following breaking news from Twitter in genuine time. We channel the flood of approaching tweets to evacuate garbage tweets utilizing a content arrangement calculation. At long last, we rank the news utilizing a dynamic scoring framework which additionally enables us to follow the news over some undefined time frame.