<|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 2018-07-12 13:02:31, bbceastenders from company bbc tweeted. The tweet was "TONIGHT: Stacey is cooking up a storm, but might also be facing one as she plans to tell her family that they have to leave.

#EastEnders. 7:30pm. <mention>. <hyperlink>". The most similar tweets were, 
1. On 2019-03-18 00:11:40, CBC handle of company cbc tweeted. The tweet was "Sarah McLachlan talks about our neighbours 🇺🇸😂 #JUNOS <hyperlink>". This tweet got 706 number of likes. 
2. On 2018-09-22 11:00:01, AMCtvUK handle of company amc tweeted. The tweet was "Bella's ready to risk it all.
#Twilight, tonight at 9. <hyperlink>". This tweet got 2 number of likes. 
3. On 2020-03-19 21:01:00, CBCPEI handle of company cbc tweeted. The tweet was "CBC P.E.I. meteorologist <mention> has all the weather details for you! 

With supper-hour shows suspended, we want Islanders to still be on top of weather updates so here is Jay with your forecast. <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
