<|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 2020-01-07 09:44:13, BBCBreakfast from company bbc tweeted. The tweet was "Classic #backtowork after #Christmas moment from <mention> on #BBCBreakfast.  We can relate 😂 ⬇️ <hyperlink>". The most similar tweets were, 
1. On 2019-01-02 09:18:30, wwf_uk handle of company wwf tweeted. The tweet was "Who's feeling like this after the Christmas break? #BackToWork 😴🦁 <hyperlink>". This tweet got 357 number of likes. 
2. On 2018-12-25 16:25:58, Cameronvdburgh handle of company cameron tweeted. The tweet was "Merry Christmas from the Van Der Burghs! <hyperlink>". This tweet got 222 number of likes. 
3. On 2019-11-22 17:01:14, TwitterMusic handle of company twitter tweeted. The tweet was "The Queen of Christmas (<mention>) is back, and she's here to read some of your classic Tweets ✨ <hyperlink>". This tweet got 19693 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
