<|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 2019-09-08 08:00:00, bbcstrictly from company bbc tweeted. The tweet was "Our #Strictly stars are all paired up and ready to face the competition! <hyperlink>". The most similar tweets were, 
1. On 2018-03-26 16:32:47, PepsiCoUKTrade handle of company pepsico tweeted. The tweet was "Congratulations <mention> for being the first winner of our competition supporting the current ITV campaign! DM us and we can organise your prize <hyperlink>". This tweet got 2 number of likes. 
2. On 2018-04-27 08:10:50, PepsiCoUKTrade handle of company pepsico tweeted. The tweet was "Congratulations <mention> for being the second winner of our competition supporting the current ITV campaign! DM us and we can organise your prize <hyperlink>". This tweet got 2 number of likes. 
3. On 2020-04-07 16:39:38, RoyalFreeNHS handle of company free tweeted. The tweet was "Watch the stars come out for our #RoyalFreeLondonHeroes! Over the next few days we’ll be sharing video clips from a host of stars who want to pay tribute to our amazing staff. Find out how it all started: <hyperlink> <hyperlink>". This tweet got 49 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
