<|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 2019-02-12 20:00:26, HOBHouston from company house tweeted. The tweet was "We’re getting closer to <mention>’s show w/ <mention> and <mention> on March 11th! Don’t sleep on these tickets… Get yours now: <hyperlink> <hyperlink>". The most similar tweets were, 
1. On 2019-04-12 18:01:03, AMCTheatres handle of company amc tweeted. The tweet was "See 5 whole minutes of <mention> this weekend before <mention>! Exclusively in <mention> - get tickets: <hyperlink> <hyperlink>". This tweet got 52 number of likes. 
2. On 2019-12-28 20:00:00, AMCTheatres handle of company amc tweeted. The tweet was "Get your tickets now to see <mention> when it opens at #AMCTheatres January 3.🎟: <hyperlink> <hyperlink>". This tweet got 20 number of likes. 
3. On 2020-09-30 01:00:01, AMCTheatres handle of company amc tweeted. The tweet was "The <mention> can't be contained! Get your tickets today and experience the power for yourself on the big screen at #AMCTheatres: <hyperlink> <hyperlink>". This tweet got 27 number of 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
