<|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 2018-04-10 14:53:07, CNN from company cnn tweeted. The tweet was "These two women left their own wedding receptions early to take final exams <hyperlink> <hyperlink>". The most similar tweets were, 
1. On 2018-04-10 11:39:03, cnni handle of company cnn tweeted. The tweet was "These two Nigerian women left their own wedding receptions early to take final exams <hyperlink> <hyperlink>". This tweet got 506 number of likes. 
2. On 2020-06-09 04:11:28, CNN handle of company cnn tweeted. The tweet was "These newlyweds shared their first look on their wedding day with dozens of people demonstrating during a Black Lives Matter protest in Philadelphia <hyperlink> <hyperlink>". This tweet got 505 number of likes. 
3. On 2018-05-19 14:46:06, CNN handle of company cnn tweeted. The tweet was "Meet Meghan's adorable #royalwedding bridal party <hyperlink> <hyperlink>". This tweet got 968 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
1213<|im_end|>
