<|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 2018-06-18 13:24:24, AMCTheatres from company amc tweeted. The tweet was ".<mention> &amp; <mention> star in #NobodysFool - opening at AMC Theatres this fall! <hyperlink>". The most similar tweets were, 
1. On 2019-01-10 02:30:00, AMCTheatres handle of company amc tweeted. The tweet was "Take a look at the trailer for <mention> starring #DevPatel and <mention> - opening in March. <hyperlink>". This tweet got 31 number of likes. 
2. On 2018-03-28 15:50:00, AMCTheatres handle of company amc tweeted. The tweet was ".<mention> stars in <mention>'s #Acrimony - opening at AMC Theatres this weekend! Get tix: <hyperlink> <hyperlink>". This tweet got 20 number of likes. 
3. On 2019-10-11 00:02:10, AMCTheatres handle of company amc tweeted. The tweet was "Meet the talented cast of the NEW <mention> movie - opening this weekend. 

Read On: <hyperlink> <hyperlink>". This tweet got 37 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
47<|im_end|>
