<|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 2018-07-19 17:00:00, BofA_Business from company bank of america tweeted. The tweet was "#Inclusion policies that let people be their true selves encourage #EmployeeRetention. Learn more: <hyperlink> <hyperlink>". The most similar tweets were, 
1. On 2018-10-16 17:34:50, IWV handle of company independent tweeted. The tweet was "Conservative policies are encouraging companies to offer workplace benefits = employees are #BetterOffNow. #TaxCutsAndJobsAct #TCJA #MidtermElections #MidtermsMatter #PaidLeave #IWecon <hyperlink>". This tweet got 58 number of likes. 
2. On 2019-06-19 18:14:01, CiscoCanada handle of company cisco tweeted. The tweet was "Read how Cisco is stepping up to support employee #mentalhealth &amp; well-being. <hyperlink> #InclusionIsHappening #EndTheStigma 🧠 via <mention> <hyperlink>". This tweet got 4 number of likes. 
3. On 2019-03-07 05:05:01, walmartindia handle of company walmart tweeted. The tweet was "#IWD2019 #BetheOne #BalanceforBetter 

Follow us <mention> and <mention> for more about our strategic focus on &amp; commitment to making the company an inclusive workplace <hyperlink>". This tweet got 11 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
