<|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 2018-11-11 20:10:55, bbcstrictly from company bbc tweeted. The tweet was "A stunning performance from <mention> and <mention> tonight ✨ #Strictly <hyperlink>". The most similar tweets were, 
1. On 2019-08-24 20:59:49, MTNNG handle of company mtn tweeted. The tweet was "We have <mention> as the first performance for the night. More to come 😊 #JJWwithMTN #JustForYou <hyperlink>". This tweet got 85 number of likes. 
2. On 2018-07-21 04:28:30, MSTheater handle of company microsoft tweeted. The tweet was "Soulful performance by <mention>!! 👍👍 #GentlemenOfSoul <hyperlink>". This tweet got 70 number of likes. 
3. On 2019-11-18 16:04:00, robbiewilliams handle of company williams tweeted. The tweet was "Was great to perform in Manchester last night for <mention> x <hyperlink>". This tweet got 1099 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
