<|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 2019-08-01 23:10:05, AMCTheatres from company amc tweeted. The tweet was "See IT in <mention>. #ITMovie tickets are on sale NOW: <hyperlink> <hyperlink> <hyperlink>". The most similar tweets were, 
1. On 2019-09-03 15:15:18, AMCTheatres handle of company amc tweeted. The tweet was "Can you handle IT in <mention>? 
Get your tickets now: <hyperlink>
#IMAX #ITMovie #ITEnds <hyperlink>". This tweet got 48 number of likes. 
2. On 2019-01-16 22:25:34, AMCTheatres handle of company amc tweeted. The tweet was "<mention> isn't your typical action film, it's way-way more. Read this to find out why then get your tickets to see it when it opens on February 1. Read More: <hyperlink> <hyperlink>". This tweet got 1 number of likes. 
3. On 2019-04-08 14:15:12, AMCTheatres handle of company amc tweeted. The tweet was "In theatres this week! Get your <mention> #MissingLink tickets now: <hyperlink> <hyperlink>". This tweet got 22 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
79<|im_end|>
