<|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 2018-06-11 16:00:17, UPMC from company upmc tweeted. The tweet was "Do you know what your mucus means? <hyperlink>". The most similar tweets were, 
1. On 2018-06-02 14:03:27, youngandfree handle of company free tweeted. The tweet was "*clears throat*
#III
June 29 <hyperlink>". This tweet got 719 number of likes. 
2. On 2018-12-29 10:15:00, MetroUK handle of company metro tweeted. The tweet was "Someone pass the tissues... 😢❤️ <hyperlink>". This tweet got 43 number of likes. 
3. On 2018-08-30 18:39:45, EmersonLotzia handle of company emerson tweeted. The tweet was "Me when someone starts coughing in the office: <hyperlink>". This tweet got 2 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
