<|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 2018-01-15 14:00:05, AMCTheatres from company amc tweeted. The tweet was "#DylanOBrien &amp; cast discuss the final chapter of the <mention> trilogy in this EXCLUSIVE featurette! Get #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 2018-02-28 20:05:00, AMCTheatres handle of company amc tweeted. The tweet was "Director <mention> breaks down a brutal scene in #DeathWishMovie - opening at AMC this weekend! Get tix now: <hyperlink> <hyperlink>". This tweet got 50 number of likes. 
3. 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 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
2178<|im_end|>
