<|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 2020-04-15 21:21:52, TheLeadCNN from company cnn tweeted. The tweet was "A mother in New York was cheered on by hospital staff as she met her newborn baby after recovering from coronavirus. She spent 11 days on a ventilator. <mention> reports. <hyperlink>". The most similar tweets were, 
1. On 2020-04-15 22:55:00, CNN handle of company cnn tweeted. The tweet was "A mother in New York was cheered on by hospital staff as she met her newborn baby after recovering from coronavirus. She spent 11 days on a ventilator. <mention> reports. <hyperlink>". This tweet got 7778 number of likes. 
2. On 2018-09-06 04:31:05, cnni handle of company cnn tweeted. The tweet was "This California nurse just discovered her colleague was a patient she cared for as a baby 28 years ago <hyperlink> <hyperlink>". This tweet got 1161 number of likes. 
3. On 2019-02-17 06:01:05, CNN handle of company cnn tweeted. The tweet was "A passerby heard this newborn crying in a storm drain. Four hours later, she was rescued with only minor injuries. <hyperlink> <hyperlink>". This tweet got 1877 number of likr 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
4433<|im_end|>
