<|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 2019-02-14 17:05:10, AMCTheatres from company amc tweeted. The tweet was "We'll just leave this right here. Happy #ValentinesDay everyone. 🙃 Check out #WhatMenWant at an #AMCTheatre near you - <hyperlink> <hyperlink>". The most similar tweets were, 
1. On 2019-02-12 15:10:09, AMCTheatres handle of company amc tweeted. The tweet was "RT if this is your #mood. 🙄 Escape your newsfeed this #ValentinesDay and come see #IsntItRomantic at #AMCTheatres! Get tickets: <hyperlink> <hyperlink>". This tweet got 26 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 2019-04-25 01:27:49, AMCTheatres handle of company amc tweeted. The tweet was "<mention> Love it!!! #AMCWTC <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
26<|im_end|>
