<|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 2018-11-20 08:13:38, UNICEFIndia from company unicef tweeted. The tweet was "Meeting some aspiring football stars before the match <mention> 
#WorldChildrensDay #GoBlue <hyperlink>". The most similar tweets were, 
1. On 2018-05-30 07:18:31, stadiumastro handle of company astro tweeted. The tweet was "Proud to work with <mention> to spark #WorldCup conversation with live match tweets, replay of the best goal of the day, roundup of the day's action and highlights of each match’s star player. Stay tuned! <hyperlink>". This tweet got 369 number of likes. 
2. On 2018-06-30 15:34:14, GettySport handle of company getty images tweeted. The tweet was "Have a day, <mention>: <hyperlink> 

#FRA #FRAARG #WorldCup <hyperlink>". This tweet got 93 number of likes. 
3. On 2019-08-15 01:25:15, stadiumastro handle of company astro tweeted. The tweet was "Wanna meet <mention> Superstar <mention> tomorrow ???

CLICK HERE: <hyperlink> <hyperlink>". This tweet got 46 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
