<|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 2018-01-02 22:59:02, AMCArtisanFilms from company amc tweeted. The tweet was "'You have the full weight of the world on your shoulders.' #DarkestHour is now playing at <mention>! Get tix: <hyperlink> <hyperlink>". The most similar tweets were, 
1. On 2018-02-11 17:00:02, AMCArtisanFilms handle of company amc tweeted. The tweet was "The 'breathtaking' #Hostiles is now playing at <mention>! Get tix: <hyperlink> <hyperlink>". This tweet got 4 number of likes. 
2. On 2020-12-05 22:00:00, AMCTheatres handle of company amc tweeted. The tweet was "The world of the <mention> is bigger and brighter than ever! ✨ Experience #CroodsNewAge on the big screen today at #AMCTheatres. Get Tix: <hyperlink> <hyperlink>". This tweet got 16 number of likes. 
3. On 2018-11-17 21:44:17, AMCTheatres handle of company amc tweeted. The tweet was "Filled with sci-fi, horror, action, and thrills. #OverlordMovie is now playing! Get tix: <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
18<|im_end|>
