<|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 2018-03-29 13:47:15, EuroLeague from company turkish airlines tweeted. The tweet was "The last time <mention> visited <mention> 👀 <hyperlink>". The most similar tweets were, 
1. On 2018-01-12 15:29:33, EuroLeague handle of company turkish airlines tweeted. The tweet was "Previously on <mention> v <mention>  ⏰ <hyperlink>". This tweet got 19 number of likes. 
2. On 2018-05-25 10:33:02, EuroLeague handle of company turkish airlines tweeted. The tweet was "➡️ <mention> 

<mention> going 🆙 <hyperlink>". This tweet got 4 number of likes. 
3. On 2018-07-03 16:51:33, EuroLeague handle of company turkish airlines tweeted. The tweet was "<mention> <mention> Hello there 👋 <hyperlink>". This tweet got 3 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
49<|im_end|>
