<|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 2018-11-26 14:29:00, BofA_News from company bank of america tweeted. The tweet was "Young adults like Edgar Rosales are reaching their professional potential because of #NeighborhoodBuilders recipient <mention>. Learn more: <hyperlink> <hyperlink>". The most similar tweets were, 
1. On 2020-10-17 13:23:14, crystalrhudson handle of company hudson tweeted. The tweet was "I was thrilled to #ChopItUp with Ty Brown of <mention>, who is enriching the lives of our young people and strengthening community. Programs like BU are exactly what those of us who’ve been calling for an investment in our communities and divestment from NYPD are talking about. <hyperlink>". This tweet got 115 number of likes. 
2. On 2018-12-11 17:00:07, UrbanOutfitters handle of company urban outfitters tweeted. The tweet was "🎶 Dunder Mifflin–the people person's paper people  🎶
<hyperlink> <hyperlink>". This tweet got 231 number of likes. 
3. On 2019-08-19 14:00:51, CharlesSchwab handle of company charles schwab tweeted. The tweet was "Our Aggie (<mention>) interns in Austin who can't help but show some school pride! #Intern #SchwabLife <hyperlink>". This tweet got 2 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
