<|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 2018-04-13 15:01:29, UNICEF from company unicef tweeted. The tweet was "We hope you have as much fun this weekend as these friends in Côte d’Ivoire.

#ForEveryChild, friendship! 

<mention> <hyperlink>". The most similar tweets were, 
1. On 2019-11-27 22:06:31, CameroonPm237 handle of company pm tweeted. The tweet was "In this times when #Cameroon is faced with challenges stemming from terrorism and violent extremism, It is heart-warming to receive support from the special friendship #Cameroon enjoys with <mention>, <mention> and <mention>.
#DionNgute toast <hyperlink>". This tweet got 107 number of likes. 
2. On 2019-12-24 17:46:17, thisisWurlD handle of company free tweeted. The tweet was "Live <mention> #GHANA #Dec28 <hyperlink>". This tweet got 98 number of likes. 
3. On 2018-12-30 10:43:47, thisisWurlD handle of company free tweeted. The tweet was "#Afrochella Thank you! #Accra #Ghana <hyperlink>". This tweet got 69 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
