<|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 2020-01-02 19:13:00, BBC6Music from company bbc tweeted. The tweet was "What's the 𝗟𝗢𝗨𝗗𝗘𝗦𝗧 gig you've ever been to?

ꜱᴜɴɴ ⦿)))'s session for <mention> is available on <mention> here <hyperlink> <hyperlink>". The most similar tweets were, 
1. On 2018-10-12 22:29:29, cameronstrang handle of company cameron tweeted. The tweet was "Still thinking about the <mention> concert last night. It was one of those freeing spiritual experiences that sticks with you for a while. 🙌🏼 <hyperlink>". This tweet got 143 number of likes. 
2. On 2020-12-09 18:09:59, AmazonMusicUK handle of company amazon tweeted. The tweet was "Join us for an exclusive interview with <mention> and  <mention> tomorrow at 3pm GMT — see you there! 

Watch in the Amazon Music app ➡️ <hyperlink> <hyperlink>". This tweet got 520 number of likes. 
3. On 2020-11-30 22:17:48, CBCMusic handle of company cbc tweeted. The tweet was "It's been so long since we've had concerts like this 😭 | <mention> <hyperlink>". This tweet got 49 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
