<|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 2018-05-19 19:29:40, CNN from company cnn tweeted. The tweet was "A big wedding calls for a great hat. <mention> takes a look at the best #royalwedding headgear <hyperlink> <hyperlink>". The most similar tweets were, 
1. On 2018-05-20 12:36:35, CNN handle of company cnn tweeted. The tweet was "A big wedding calls for a great hat. <mention> takes a look at the best #royalwedding headgear <hyperlink> <hyperlink>". This tweet got 1025 number of likes. 
2. On 2020-10-06 00:50:42, amandashires handle of company monster tweeted. The tweet was "Thank you <mention> for the greatest hat. <hyperlink>". This tweet got 389 number of likes. 
3. On 2020-02-11 17:15:45, w_terrence handle of company williams tweeted. The tweet was "Have fun in your hat, rock your hat and wear it Proud. It’s okay!

I love my Trump hats.

Post a pick of your Trump gear under this post! Let’s show our support for President <mention> <hyperlink>". This tweet got 14884 number of likr 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
841<|im_end|>
