<|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 2019-01-09 22:03:26, AMCTheatres from company amc tweeted. The tweet was "Here's everything we know about the upcoming #Aladdin live-action movie. Read On: <hyperlink> <hyperlink>". The most similar tweets were, 
1. On 2019-07-05 16:12:43, AMCTheatres handle of company amc tweeted. The tweet was "Witness the magic of <mention>’s #Aladdin when it flies into AMC Theatres! ✨ Reserve Tickets: <hyperlink> <hyperlink> <hyperlink>". This tweet got 46 number of likes. 
2. On 2019-05-23 21:31:05, AMC_Cinemas_SA handle of company amc tweeted. The tweet was "Showtimes for #Aladdin 
#AMCCinemasSA 
Book your tickets now: <hyperlink> <hyperlink>". This tweet got 1 number of likes. 
3. On 2019-06-05 00:24:21, AMC_Cinemas_SA handle of company amc tweeted. The tweet was "Book your tickets now #Aladdin, #JohnWick3, #MAMovie, #DarkPhoenix and #GodzillaMovie at #AMCCinemasSA <hyperlink> <hyperlink>". This tweet got 6 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
31<|im_end|>
