<|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 2019-10-10 00:55:04, AMCTheatres from company amc tweeted. The tweet was "WILL you join us for a #WillSmith themed #AMCTW? Starting in 5️⃣! <hyperlink>". The most similar tweets were, 
1. On 2020-02-19 17:29:08, AMCTheatres handle of company amc tweeted. The tweet was "This is an adventure you don't want to miss. Hurry and get your #CallOfTheWild tickets now! 🎟: <hyperlink> <hyperlink>". This tweet got 17 number of likes. 
2. On 2019-04-04 02:05:02, AMCTheatres handle of company amc tweeted. The tweet was "<mention> See ya there! <hyperlink>". This tweet got 1 number of likes. 
3. On 2019-02-14 02:11:50, AMCTheatres handle of company amc tweeted. The tweet was "<mention> Yes of course! #AMCWTC <hyperlink>". This tweet got 1 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
31<|im_end|>
