<|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 2018-05-19 13:56:05, CNN from company cnn tweeted. The tweet was "Here's a look at all the royal fashion choices from today <hyperlink> #royalwedding <hyperlink>". The most similar tweets were, 
1. On 2018-05-19 13:25:56, CNN handle of company cnn tweeted. The tweet was "Celebrities from Oprah to George and Amal Clooney attended the #royalwedding -- and dazzled with their fashion choices <hyperlink> <hyperlink>". This tweet got 2410 number of likes. 
2. 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 likes. 
3. On 2018-05-20 12:36:35, CNN handle of company cnn tweeted. The tweet was "A big wedding calls for a great hat. <mention> takes a look at the best #royalwedding headgear <hyperlink> <hyperlink>". This tweet got 1025 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
1331<|im_end|>
