<|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 2018-06-05 19:00:01, UNICEF from company unicef tweeted. The tweet was "This friendship between Syrian refugee Badia and Noelle from Italy will melt your heart.

#AChildIsAChild <hyperlink>". The most similar tweets were, 
1. On 2019-09-05 16:40:23, thisisaviva handle of company aviva tweeted. The tweet was "Looking for a friend for the end of the world, anyone? <hyperlink>". This tweet got 108 number of likes. 
2. On 2020-09-21 08:00:02, Cisco_BE handle of company cisco tweeted. The tweet was "On #InternationalDayofPeace we're exploring how our #nonprofit partner <mention> impacts Syrian refugee camps giving a young boy a new hand &amp; a community new opportunities. Listen here 👉 <hyperlink> <hyperlink>". This tweet got 3 number of likes. 
3. On 2020-09-21 15:00:02, CiscoNetworking handle of company cisco tweeted. The tweet was "On #InternationalDayofPeace we're exploring how our #nonprofit partner <mention> impacts Syrian refugee camps giving a young boy a new hand &amp; a community new opportunities. Listen here 👉 <hyperlink> <hyperlink>". This tweet got 1 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
