<|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 2019-11-17 19:28:18, bbcstrictly from company bbc tweeted. The tweet was "YES <mention> and <mention>! They're rocking straight through to Week 10. 👏 #Strictly <hyperlink>". The most similar tweets were, 
1. On 2020-02-18 19:16:29, AmazonMusicUK handle of company amazon tweeted. The tweet was ".<mention> is cute as a button. You can’t tell us otherwise. <mention> #Brits2020 #hrvy <hyperlink>". This tweet got 2152 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 2020-05-01 11:58:55, amazonmusic handle of company amazon tweeted. The tweet was ".<mention> and <mention> want you to #BeKind 🌼🌼 Listen to their latest collab on our Pop Culture playlist now 🎧: <hyperlink> <hyperlink>". This tweet got 812 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
