<|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 2018-09-16 14:41:17, BBCAMERICA from company bbc tweeted. The tweet was "Our #GalaxyofWomen is ready for the #Emmys tomorrow. 

Good luck to #OrphanBlack's <mention> and #KillingEve's <mention>! <hyperlink>". The most similar tweets were, 
1. On 2018-09-18 01:45:02, AmazonStudios handle of company amazon tweeted. The tweet was "Mood. #Emmys 
📸: <mention> <hyperlink>". This tweet got 752 number of likes. 
2. On 2018-09-13 18:43:33, MSTheater handle of company microsoft tweeted. The tweet was "Catch a sneak peek at where your favorite celebrities will be sitting for the #Emmys this Monday at Microsoft Theater! <mention> <hyperlink>". This tweet got 236 number of likes. 
3. On 2020-07-28 19:25:40, MrBarryWilliams handle of company williams tweeted. The tweet was "Congratulations on the #EmmyNomination #HGTV #AVeryBradyReno #AVeryBradyRenovation #BradyBunch #Groovy This is Far Out!!! #Emmy <hyperlink>". This tweet got 905 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
