<|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 2019-05-17 13:50:21, EuroLeague from company turkish airlines tweeted. The tweet was "Who will be making this walk later? 🙌

#F4GLORY <hyperlink>". The most similar tweets were, 
1. On 2019-11-22 20:34:08, EuroLeague handle of company turkish airlines tweeted. The tweet was ".<mention> going through the motions! 💪

#GameON <hyperlink>". This tweet got 16 number of likes. 
2. On 2019-11-07 19:47:17, EuroLeague handle of company turkish airlines tweeted. The tweet was ".<mention> gets the job DONE on the road!

#GameON <hyperlink>". This tweet got 65 number of likes. 
3. On 2018-10-12 17:16:29, EuroLeague handle of company turkish airlines tweeted. The tweet was "Ready for action! <hyperlink>". This tweet got 533 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
413<|im_end|>
