<|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 2018-12-19 12:47:33, BcardPayments from company barclaycard tweeted. The tweet was "Diners find waiting for the bill the most frustrating part of their meal. Here's how to improve your customers' #experience. 👉 <hyperlink> #Barclaycardbusiness <hyperlink>". The most similar tweets were, 
1. On 2020-04-14 15:37:56, OriginalFresca handle of company bacardi tweeted. The tweet was "thought <mention> was giving us a break in this CLIMATE, but they're just out here reminding us to pay our bills online lmaoooo <hyperlink>". This tweet got 1 number of likes. 
2. On 2019-02-12 23:09:45, Mastercard handle of company mastercard tweeted. The tweet was "That feeling when your food arrives at the table is… #Priceless! Sound about right to you? 🔊 <hyperlink>". This tweet got 91 number of likes. 
3. On 2020-05-07 21:26:00, OriginalFresca handle of company bacardi tweeted. The tweet was "<mention> I honestly can’t wait for it to arrive and see what happens <hyperlink>". This tweet got 0 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
