<|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 2020-07-24 13:49:50, BofA_Business from company bank of america tweeted. The tweet was "Corporate #treasurers are driving important #ESG principles that can help companies endure beyond economic #disruption. Listen now <hyperlink> <hyperlink>". The most similar tweets were, 
1. On 2020-01-14 22:15:06, CharlesSchwab handle of company charles schwab tweeted. The tweet was "We believe that #FinancialLiteracy has the power to break down barriers and help create opportunities. Read more from <mention> in her <mention> #BigIdeas2020 article: <hyperlink> <hyperlink>". This tweet got 4 number of likes. 
2. On 2018-05-28 16:43:31, WalmartCanada handle of company walmart tweeted. The tweet was "Want to make a difference on a growing team, with the support of a global enterprise having your back? Take risks, make your mark, and put your talents in the spotlight. Apply today: <hyperlink> #businessanalytics #techto #BigData <hyperlink>". This tweet got 0 number of likes. 
3. On 2019-12-15 03:23:08, IndependentNGR handle of company independent tweeted. The tweet was "How Fintechs Are Rejuvenating Banking <hyperlink> <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
