<|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 2019-02-28 02:15:01, AMCTheatres from company amc tweeted. The tweet was "<mention> Yes! ❤️This genre had some strong films. #LoveActually #AMCWTC <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 2018-12-20 02:17:15, AMCTheatres handle of company amc tweeted. The tweet was "<mention> I love this movie so much! <hyperlink>". This tweet got 2 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
1<|im_end|>
