<|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 2018-02-23 15:30:15, UNICEFDRC from company unicef tweeted. The tweet was "Weekend mood on 😜

#FridayFeeling <mention> <hyperlink>". The most similar tweets were, 
1. On 2018-12-15 17:30:10, Greenpeace handle of company greenpeace tweeted. The tweet was "Weekend mood 😴 <hyperlink>". This tweet got 449 number of likes. 
2. On 2018-06-09 14:00:06, FreePeople handle of company free tweeted. The tweet was "When it's finally the weekend 🙌 🌮 #mood <hyperlink> <hyperlink>". This tweet got 217 number of likes. 
3. On 2018-06-08 14:00:10, FreePeople handle of company free tweeted. The tweet was "#mood on weekdays vs when it's Friday 🐶 <hyperlink> <hyperlink> <hyperlink>". This tweet got 153 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
