<|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 2019-04-26 21:46:51, LFC from company liverpool tweeted. The tweet was "Big hugs for <mention>. 🤗❤

Great to have him back. 👊 <hyperlink>". The most similar tweets were, 
1. On 2019-11-01 14:43:59, GavinFree handle of company free tweeted. The tweet was "Did you know that <mention> gives great hugs? <hyperlink>". This tweet got 30529 number of likes. 
2. On 2018-01-16 11:27:07, KeshMan_ handle of company free tweeted. The tweet was "Thank you to everyone <mention> for the 3 years I spent at the club, it was a pleasure to be a part of it and learn all I have from the players and staff, I wish everyone the best for the rest and coming seasons ❤️💙 #CPFC <hyperlink>". This tweet got 627 number of likes. 
3. On 2020-12-06 18:58:47, stadiumastro handle of company astro tweeted. The tweet was "Hugs all around for his players 🤗

#JoseMourinho
#TOTARS
#StadiumAstro <hyperlink>". This tweet got 100 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
