<|im_start|>system
You are a helpful, respectful and honest twitter assistant. Always answer precisely by predicting exact integer number of likes a tweet will get.<|im_end|>
<|im_start|>user
On 2019-10-19 13:02:58, BBCNews from company bbc tweeted. The tweet was "Tens of thousands of people are marching through central London to call for a "final say" vote on Boris Johnson's new #Brexit deal

#PeoplesVoteMarch

<hyperlink> <hyperlink>". The most similar tweets were, 
1. On 2019-03-23 16:45:19, CNN handle of company cnn tweeted. The tweet was "Hundreds of thousands are marching in London today to demand a second Brexit referendum. <hyperlink> <hyperlink>". This tweet got 1053 number of likes. 
2. On 2019-03-23 16:45:19, cnni handle of company cnn tweeted. The tweet was "Hundreds of thousands are marching in London today to demand a second Brexit referendum. <hyperlink> <hyperlink>". This tweet got 668 number of likes. 
3. On 2019-10-19 12:40:47, CNN handle of company cnn tweeted. The tweet was "As lawmakers debate Boris Johnson's Brexit deal in the Houses of Parliament, thousands of protesters are calling for a second referendum outside: <hyperlink> <hyperlink>". This tweet got 1817 number of likes. 
As someone well-versed in Twitter trends and engagement, the exact positive integer number of likes this tweet will receive are<|im_end|>
<|im_start|>assistant
