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Abstract

Twitter is a motivating platform for the dissemination of reports. The time period nature and brevity of the tweets are contributing to sharing of knowledge associated with vital events as they unfold. But, one in all the best challenges is to search out the tweets that we are able to characterize as news within the ocean of tweets. In this paper, we propose a novel method for detecting and tracking breaking news from Twitter in real -time. We filter the stream of incoming tweets to get rid of junk tweets employing a text classification algorithmic program. Finally, we tend to rank the news employing a dynamic rating system that conjointly permits North American country to trace the news over an amount of your time.

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How to Cite
Suganya.G, Dharanidharan.T, Prakashkumar.M, & Sharuk.S. (2021). Detecting and removing rumors in twitter. International Journal of Intellectual Advancements and Research in Engineering Computations, 7(1), 1130–1134. Retrieved from https://ijiarec.com/ijiarec/article/view/202