<|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 2019-10-21 16:05:10, UNICEF from company unicef tweeted. The tweet was "Say it.

#MondayMotivation from <mention> - our channel by youth, for youth. <hyperlink>". The most similar tweets were, 
1. On 2019-09-17 06:42:05, PepsiCoAMESA handle of company pepsico tweeted. The tweet was "Because the youth is our future. #AwaazMittiKi <hyperlink>". This tweet got 7 number of likes. 
2. On 2018-06-11 12:58:02, TeamCoachBuzz handle of company williams tweeted. The tweet was ".<mention>'s 13 Principles of Managing 

#MondayMotivation #getBETTER <hyperlink>". This tweet got 254 number of likes. 
3. On 2019-07-08 04:11:46, Greenpeace handle of company greenpeace tweeted. The tweet was "Today's mantra ✊

#MondayMotivation <hyperlink>". This tweet got 554 number of 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
