<|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 2019-09-14 20:25:28, BBCCO from company bbc tweeted. The tweet was "Could it be magic?! It certainly feels like it! Headliner <mention> on the <mention> in the Park stage! 🤩🙌🤩 #PromsinthePark <hyperlink>". The most similar tweets were, 
1. On 2019-06-27 19:06:02, Liamwilliamsko handle of company williams tweeted. The tweet was "Taking you into <mention> for a little insider of what goes on during our sessions there thanks to <mention> &amp; the team for putting this short clip together!! 👌🏼

<mention> <mention> <mention> <mention> #machine #TeamWilliams 🥊 <hyperlink>". This tweet got 123 number of likes. 
2. On 2019-05-24 14:06:18, Tesco handle of company tesco tweeted. The tweet was "<mention> <mention> There's nothing better than this classic! - Andy 🍏🍎

#EveryLittleHelps

<hyperlink> <hyperlink>". This tweet got 134 number of likes. 
3. On 2018-09-10 10:15:33, cameronesposito handle of company cameron tweeted. The tweet was "It’s <mention> on <mention>!! Such a beautiful convo. <hyperlink> <hyperlink>". This tweet got 983 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
