<|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 2018-05-23 14:15:00, BofA_News from company bank of america tweeted. The tweet was "Through #BofAStudentLeaders, students like De-Shaunah build the skills they need to chart a path for success <hyperlink> <hyperlink>". The most similar tweets were, 
1. On 2019-01-14 18:25:01, CiscoPartners handle of company cisco tweeted. The tweet was "Learn how organizations can inspire and connect with employees, no matter where they are in the 🌎. Join our SuccessTalk webinar, tomorrow at 11am ET: <hyperlink> #MarketingMonday <hyperlink>". This tweet got 2 number of likes. 
2. On 2018-10-12 18:48:24, _mte3 handle of company eaton tweeted. The tweet was "Shoutout to the most efficient student trainers! <hyperlink>". This tweet got 77 number of likes. 
3. On 2019-04-08 03:02:48, BarRescue handle of company bar tweeted. The tweet was "The <mention> students now have an amazing space to train! Great work <mention> and his team. 👍 #BarRescue <hyperlink>". This tweet got 86 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
