<|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 2018-12-18 14:10:00, UNICEF from company unicef tweeted. The tweet was "🐪

Sometimes you find what you're looking for in the most unexpected places. #AChildIsAChild #MigrantsDay <mention> <hyperlink>". The most similar tweets were, 
1. On 2020-12-23 04:17:36, SonnyBWilliams handle of company williams tweeted. The tweet was "Good to catch up with <mention> and talk all things about the less fortunate from feeding the homeless, the plight of refugees, 2 bringing back the Australian mothers and their children from the refugee camps overseas. Alhamdullilah for all we have. 🤲🏽❤️ <hyperlink>". This tweet got 1080 number of likes. 
2. On 2020-04-13 07:25:50, HUL_News handle of company unilever tweeted. The tweet was "Through our sustainable community development initiative #ProjectPrabhat, we are reaching out to migrant labourers with food and hygiene product donations #HULStandsWithTheNation #IndiaFightsCorona #COVID19 <hyperlink>". This tweet got 55 number of likes. 
3. 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. 
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
