<|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 2018-09-09 21:30:07, CNN from company cnn tweeted. The tweet was "Emmys make history as black actors sweep guest star categories <hyperlink> <hyperlink>". The most similar tweets were, 
1. On 2018-09-18 04:31:05, CNN handle of company cnn tweeted. The tweet was ""Game of Thrones" reigns again, reclaiming the best drama award at the #Emmys <hyperlink> <hyperlink>". This tweet got 1135 number of likes. 
2. On 2020-09-21 04:45:04, CNN handle of company cnn tweeted. The tweet was ""Mom! I won!"

The virtual #Emmys were a stark reminder that the world is still dealing with a pandemic, but the show managed to capture honest and human moments that were totally relatable. <hyperlink> <hyperlink>". This tweet got 507 number of likes. 
3. On 2018-01-08 13:01:35, CNN handle of company cnn tweeted. The tweet was "Stars transformed the red carpet. Shows featuring women won awards. Then Oprah stole the show. 

The #GoldenGlobes in under 90 seconds <hyperlink> <hyperlink>". This tweet got 1100 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
739<|im_end|>
