<|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 2019-12-19 16:47:00, BofA_Business from company bank of america tweeted. The tweet was "Want some talking points on the economy for holiday party discussions? Check out some insights from our head of U.S. Economics, Michelle Meyer <hyperlink> <hyperlink>". The most similar tweets were, 
1. On 2020-12-11 16:00:08, USAA handle of company usaa tweeted. The tweet was "Tips on spreading holiday cheer without digging yourself deeper in debt - <hyperlink> <hyperlink>". This tweet got 30 number of likes. 
2. On 2019-08-26 16:24:30, TheFreeTradeInn handle of company free tweeted. The tweet was "Happy Bank Holiday Folks <hyperlink>". This tweet got 84 number of likes. 
3. On 2018-12-03 21:15:01, CiscoPartners handle of company cisco tweeted. The tweet was "Shopping is in full swing around the holiday season! Learn about our solutions for #partners in the #retail industry: <hyperlink> <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
