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Streaming Social media sites and apps of it , including Facebook, YouTube, Twitter and blogs, have turn out to be most important social media affection at present era. The huge amount of information from this medium has become an attractive resource for organizations to monitor the opinions of users, and therefore ,it is receiving a lot of attention in the field of sentiment analysis In this work we are analyzed some news that are having more trending characteristic due to affection day today life of  common  man. we are using a quantity of part of  twitter comments of some duration and glance the polarity of it. With the assist of sentiment analysis . in streaming social media of  different Twitter datasets(i.e. NEWS) The obtained results indicate the potential of our approach to detect trending rumor news.

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