<|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 2019-11-27 22:00:06, AMCTheatres from company amc tweeted. The tweet was "YOUR DECEMBER WATCH LIST IS HERE📍

With a lineup like this, you’ll be spending a lot of time at #AMCTheatres! 😀 Check it out: <hyperlink> <hyperlink>". The most similar tweets were, 
1. On 2020-10-31 21:00:01, AMCTheatres handle of company amc tweeted. The tweet was "What's in your #AMCTheatres watchlist this Halloween? <hyperlink>". This tweet got 18 number of likes. 
2. On 2019-11-08 00:03:02, AMCTheatres handle of company amc tweeted. The tweet was "Need a reason to see <mention>? We’ll give you 4️⃣! Take a look then get your tickets for this weekend: <hyperlink> <hyperlink>". This tweet got 19 number of likes. 
3. On 2020-02-27 02:06:14, AMCTheatres handle of company amc tweeted. The tweet was "<mention> Great choices! <hyperlink>". This tweet got 3 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
24<|im_end|>
