<|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 2018-06-30 11:00:01, AMCtvUK from company amc tweeted. The tweet was "Give your Saturday extra sass with these angels from 7.10pm! <hyperlink>". The most similar tweets were, 
1. On 2018-09-21 20:32:59, AMCTheatres handle of company amc tweeted. The tweet was "Cheers to the weekend! See #AnnaKendrick and #BlakeLively in #ASimpleFavor - now playing! <hyperlink> <hyperlink>". This tweet got 45 number of likes. 
2. On 2019-06-04 20:03:44, AMCTheatres handle of company amc tweeted. The tweet was "Tons to choose from for #DiscountTuesdays! What do you have your eye on? #Savings #Movies 

Get Tickets for Tonight: <hyperlink> <hyperlink>". This tweet got 24 number of likes. 
3. On 2019-02-04 14:45:08, AMCTheatres handle of company amc tweeted. The tweet was "Need something to look forward to this week?? Plan a #GirlsNightOut to AMC this Wednesday, February 6th and see <mention> first! Details and tickets here ➡ <hyperlink> <hyperlink>". This tweet got 26 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
0<|im_end|>
