<|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 2018-05-01 16:35:59, AMCTheatres from company amc tweeted. The tweet was "Roll out the red carpet - the Teen Titans are heading to Hollywood. Check out the all-new trailer for #TeenTitansGOMovie! <hyperlink>". The most similar tweets were, 
1. On 2019-05-26 16:03:04, AMCTheatres handle of company amc tweeted. The tweet was "Get comfy movie-fans! We’re about to breakdown the upcoming #Disney film slate. 

Full Story: <hyperlink> <hyperlink>". This tweet got 47 number of likes. 
2. On 2019-06-03 16:16:12, AMCTheatres handle of company amc tweeted. The tweet was "Here are the very best new young adult movies coming your way. What’s on your radar?

Full Story: <hyperlink> <hyperlink>". This tweet got 23 number of likes. 
3. On 2019-02-25 15:01:09, AMCTheatres handle of company amc tweeted. The tweet was "Parents, upgrade your teen’s movie night with Coke and popcorn for only $5. Click the link to get the deal. <hyperlink> <hyperlink>". This tweet got 26 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
60<|im_end|>
