<|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 2019-06-29 15:55:46, BBCR1 from company bbc tweeted. The tweet was "This was SO SPECIAL ❤️

<mention> has the entire #Glastonbury2019 crowd singing along to 'Someone You Loved' 💔 <hyperlink>". The most similar tweets were, 
1. On 2019-06-28 15:34:46, ariellefree handle of company free tweeted. The tweet was "#Glastonbury2019 I am in you! <hyperlink>". This tweet got 58 number of likes. 
2. On 2020-02-26 02:22:15, cbcsports handle of company cbc tweeted. The tweet was "🇨🇦 <mention> was feeling the love from the <mention> supporters ❤️

They chanted his name after an impressive performance by the teenager

🎥: <mention> 
<hyperlink>". This tweet got 48 number of likes. 
3. On 2019-11-26 17:06:06, amazonmusic handle of company amazon tweeted. The tweet was "We spoke to <mention> about his chart-topping single "Someone You Loved.” 

Hear all the music with #AmazonMusicHD: <hyperlink> <hyperlink>". This tweet got 838 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
