<|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 2019-02-16 15:19:00, BBCR1 from company bbc tweeted. The tweet was "We can't stop listening to <mention>'s cover of <mention>'s Hometown Glory in the Live Lounge. Stunning. ✨ <hyperlink>". The most similar tweets were, 
1. On 2020-04-14 20:28:44, amazonmusic handle of company amazon tweeted. The tweet was "The cover you never knew you needed and suddenly can't live without is here 🎶 

Listen to <mention>'s rendition of <mention>'s 'Circles' on our Contrl Alt Repeat playlist 🎧: <hyperlink> <hyperlink>". This tweet got 608 number of likes. 
2. On 2019-03-23 13:22:29, IVW_UK handle of company independent tweeted. The tweet was "Big movements this grey Saturday with <mention>. It’s the <mention> march today and we’re more than excited to see so many attending. Live music won’t be the same if we leave <mention> ❤️❤️ <mention> <hyperlink>". This tweet got 57 number of likes. 
3. On 2019-11-25 04:00:19, MSTheater handle of company microsoft tweeted. The tweet was "The music 🎶 continues to bring cheer to the #AMAs crowd! With <mention> <mention> <mention> <mention> &amp; <mention> <hyperlink>". This tweet got 67 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
