<|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 2018-05-08 10:06:09, EuroLeague from company turkish airlines tweeted. The tweet was "Where do these #EuroLeague players love to visit on away days? 🌍

Find out here ⬇️⬇️ <hyperlink>". The most similar tweets were, 
1. On 2018-04-05 11:37:43, EuroLeague handle of company turkish airlines tweeted. The tweet was "🖐️ #EuroLeague games on tonight <hyperlink>". This tweet got 23 number of likes. 
2. On 2018-10-11 18:52:14, EuroLeague handle of company turkish airlines tweeted. The tweet was "OK <mention>!

We could see a few of these this season!

#7DAYSMagicMoment <hyperlink>". This tweet got 40 number of likes. 
3. On 2018-12-19 12:46:45, EuroLeague handle of company turkish airlines tweeted. The tweet was "Here is how tonight looks in the #EuroLeague!

Don't miss a minute on <hyperlink>

👀 <hyperlink> <hyperlink>". This tweet got 23 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
41<|im_end|>
