<|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 2018-10-27 11:00:00, AMCtvUK from company amc tweeted. The tweet was "We're supporting <mention>​ next month with a fantastic line-up of Mo'-tastic movies! 👨🏻👨🏼👨🏾👨🏿 Join us in raising awareness for men's health ➡️ <hyperlink> <hyperlink>". The most similar tweets were, 
1. On 2019-01-18 21:04:07, AMCTheatres handle of company amc tweeted. The tweet was "<mention> is right around the corner! Here are just a few films we can't wait to see. Read On: <hyperlink> <hyperlink>". This tweet got 2 number of likes. 
2. On 2018-06-28 18:48:08, AMCTheatres handle of company amc tweeted. The tweet was "Expand your love of film with these upcoming <mention> movies! Learn more: <hyperlink> <hyperlink>". This tweet got 21 number of likes. 
3. On 2019-07-05 22:28:54, AMC_Cinemas_SA handle of company amc tweeted. The tweet was "<mention> Enjoy <hyperlink>". This tweet got 0 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|>
