<|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 2019-05-06 10:37:03, bbceastenders from company bbc tweeted. The tweet was "When it's bank holiday Monday and someone mentions work tomorrow. #EastEnders <hyperlink>". The most similar tweets were, 
1. On 2019-04-22 08:55:00, MetroUK handle of company metro tweeted. The tweet was "When you wake up on Monday morning and realise you don't have to go to work #BankHoliday <hyperlink>". This tweet got 166 number of likes. 
2. On 2019-05-06 19:10:43, MetroUK handle of company metro tweeted. The tweet was "Going back to work after the bank holiday weekend. <hyperlink>". This tweet got 158 number of likes. 
3. On 2018-06-05 10:47:57, TheAA_UK handle of company aa tweeted. The tweet was "We hope you’re over those Monday blues. Here’s a selection of our favourite snaps from their recent Bank Holiday road trips! 🐾 <hyperlink>". This tweet got 3 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
