<|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 2019-09-27 11:28:35, BBCSounds from company bbc tweeted. The tweet was "“They can smell a Brexit extension coming.”

<mention> tells #Brexitcast about the mood in the EU right now.

LISTEN on BBC Sounds 🎧 <hyperlink>
WATCH on BBC iPlayer 📺 <hyperlink> <hyperlink>". The most similar tweets were, 
1. On 2018-05-29 21:07:24, Independent handle of company independent tweeted. The tweet was "Theresa May demands EU stop using sound-bites after months of saying 'Brexit means Brexit' <hyperlink> <hyperlink>". This tweet got 44 number of likes. 
2. On 2019-10-19 14:56:50, Independent handle of company independent tweeted. The tweet was "<mention> <mention> <mention> <mention> <mention> #PeoplesVoteMarch protesters cheer as MPs force Boris Johnson to ask EU for a Brexit extension | #FinalSay  <hyperlink> <hyperlink>". This tweet got 48 number of likes. 
3. On 2018-08-09 23:33:11, Independent handle of company independent tweeted. The tweet was "Half of British people want final say over no-deal Brexit, major new poll finds <hyperlink> <hyperlink>". This tweet got 122 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
