<|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 2018-01-25 19:35:33, AMCTheatres from company amc tweeted. The tweet was "The epic journey ends in <mention>. Get <mention> #DeathCure tix now: <hyperlink> <hyperlink>". The most similar tweets were, 
1. On 2018-02-08 03:30:27, AMCTheatres handle of company amc tweeted. The tweet was "This weekend, experience the final chapter in <mention>. Get #FiftyShadesFreed tix now: <hyperlink> <hyperlink>". This tweet got 37 number of likes. 
2. On 2018-10-08 02:30:55, AMCTheatres handle of company amc tweeted. The tweet was "Experience the epic journey to the moon in <mention>. Get tix now for #FirstMan: <hyperlink> <hyperlink>". This tweet got 30 number of likes. 
3. On 2019-03-27 22:05:28, AMCTheatres handle of company amc tweeted. The tweet was "Go on a wild trip with <mention>, <mention> , <mention> and many more stars you'd want to party with. Get your <mention> tix now: <hyperlink> 🤙 <hyperlink>". This tweet got 18 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
23<|im_end|>
