<|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 2018-04-03 19:59:21, AMCTheatres from company amc tweeted. The tweet was "#HalleBerry &amp; #DanielCraig star in <mention> - opening at AMC Theatres April 27! <hyperlink>". The most similar tweets were, 
1. On 2018-04-03 20:06:35, AMCArtisanFilms handle of company amc tweeted. The tweet was "#HalleBerry &amp; #DanielCraig star in <mention> - opening <mention> April 27! <hyperlink>". This tweet got 3 number of likes. 
2. On 2018-04-03 15:40:05, AMCTheatres handle of company amc tweeted. The tweet was "#KevinHart &amp; #TiffanyHaddish welcome you to <mention> - opening at AMC Theatres September 28! <hyperlink>". This tweet got 43 number of likes. 
3. On 2019-04-08 14:15:12, AMCTheatres handle of company amc tweeted. The tweet was "In theatres this week! Get your <mention> #MissingLink tickets now: <hyperlink> <hyperlink>". This tweet got 22 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
56<|im_end|>
