<|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 2020-03-02 07:00:09, Barclaycard from company barclaycard tweeted. The tweet was "Get your groove on and watch <mention> perform a collection of timeless classics at <mention> on 14 March 20. Bop over to <hyperlink> and get your tickets for a little #MondayMotivation 🎤 <hyperlink>". The most similar tweets were, 
1. On 2019-11-08 01:49:21, Mastercard handle of company mastercard tweeted. The tweet was "That feeling when you see <mention> at a <mention> card concert and get a Priceless Surprise from the band themselves. ✨😍✨ <hyperlink>". This tweet got 109 number of likes. 
2. On 2019-02-20 20:00:07, Mastercard handle of company mastercard tweeted. The tweet was "Tune in NOW for all the LIVE action from The #BRITs 2019 on <mention>! #StartSomethingPriceless <hyperlink> <hyperlink>". This tweet got 58 number of likes. 
3. On 2019-02-16 18:48:06, Mastercard handle of company mastercard tweeted. The tweet was "Excited for The #BRITs? Catch all the action LIVE on <mention> at 3pm ET on 2/20. Get ready to #StartSomethingPriceless. <hyperlink> <hyperlink>". This tweet got 43 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
