<|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 2019-11-08 19:01:02, AMCTheatres from company amc tweeted. The tweet was "Ring the ALARM! 🚨 <mention> is primed to make your entire family laugh this weekend. 

Read On: <hyperlink> <hyperlink>". The most similar tweets were, 
1. On 2020-02-19 17:29:08, AMCTheatres handle of company amc tweeted. The tweet was "This is an adventure you don't want to miss. Hurry and get your #CallOfTheWild tickets now! 🎟: <hyperlink> <hyperlink>". This tweet got 17 number of likes. 
2. On 2019-05-07 18:28:59, AMCTheatres handle of company amc tweeted. The tweet was ".<mention> is hilarious, original and has a #Superbad sibling story. 

Read On: <hyperlink> <hyperlink>". This tweet got 18 number of likes. 
3. On 2019-02-20 18:11:41, AMCTheatres handle of company amc tweeted. The tweet was "Heartfelt and hilarious. Find out why <mention> has a little bit of everything. Opening this weekend!  Get tix: <hyperlink> <hyperlink>". This tweet got 50 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
14<|im_end|>
