<|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 2018-10-02 17:00:06, AMCTheatres from company amc tweeted. The tweet was "Want to see #BradleyCooper and #LadyGaga's #AStarIsBorn early? Our Fan Event in <mention> is TONIGHT! Tix still available - get yours now: <hyperlink> <hyperlink>". The most similar tweets were, 
1. On 2018-10-07 15:30:00, AMCTheatres handle of company amc tweeted. The tweet was ""We're far from the shallow now." #BradleyCooper and #LadyGaga star in #AStarIsBorn - now playing! Get tix: <hyperlink> <hyperlink>". This tweet got 63 number of likes. 
2. On 2018-09-03 14:01:04, AMCTheatres handle of company amc tweeted. The tweet was "We've got your ticket to a great #LaborDay because these fan favorites are back at AMC! Get tix now: <hyperlink> <hyperlink>". This tweet got 35 number of likes. 
3. On 2019-04-05 01:12:09, AMCTheatres handle of company amc tweeted. The tweet was "Chill with these two this weekend at AMC. Get tix to see #TheBeachBum now: <hyperlink> <hyperlink>". This tweet got 14 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
23<|im_end|>
