<|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 2020-12-24 11:25:27, BarclaycardNews from company barclaycard tweeted. The tweet was "SOUND ON 🔉: In a year where we need more Christmas cheer than ever, our Barclays Northampton Upbeats Choir came together online to share their favourite carol. <hyperlink>". The most similar tweets were, 
1. On 2018-12-21 12:00:01, HSBC_UK handle of company hsbc tweeted. The tweet was "Wishing a very Merry Christmas to all of our customers and colleagues the world over, we hope it's a magical one 💫 <hyperlink>". This tweet got 364 number of likes. 
2. On 2020-12-25 05:43:00, MTNNG handle of company mtn tweeted. The tweet was "May your heart and home be filled with all the joys of the festive season. Have a wonderful Merry Christmas! 💛💛 #MerryChristmas2020 #StaySafe #WearItForMe <hyperlink>". This tweet got 94 number of likes. 
3. On 2019-06-02 23:56:00, MastercardCA handle of company mastercard tweeted. The tweet was "Cheer like you don’t need your voice tomorrow! 🗣️Let’s go <mention>! #StartSomethingPriceless #WeTheNorth <hyperlink>". This tweet got 57 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
