<|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 2019-12-13 04:22:01, bbcsoutheast from company bbc tweeted. The tweet was "BRIGHTON PAVILION RESULT: Caroline Lucas HOLD. More South East results here: <hyperlink> #BBCElection #GE2019 <hyperlink>". The most similar tweets were, 
1. On 2018-12-11 07:48:00, stadiumastro handle of company astro tweeted. The tweet was "Can #Kepa pull THIS off against #Brighton this Sunday?

#TOTCHE <hyperlink>". This tweet got 53 number of likes. 
2. On 2019-05-04 12:01:35, qatarairways handle of company qatar airways tweeted. The tweet was "Grab a seat as we surprise one of our 30 lucky guests in #London with two business class tickets 🇬🇧. #LikeNeverBefore <hyperlink>". This tweet got 86 number of likes. 
3. On 2020-09-24 20:16:29, PhilWilliams handle of company williams tweeted. The tweet was "Meanwhile, BBC reporting an unusual goal at Lincoln City: <hyperlink>". This tweet got 504 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
