<|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 2018-08-09 21:00:12, BofA_Business from company bank of america tweeted. The tweet was "Thank you <mention> for the recognition of our #commercialcard business. <hyperlink> <hyperlink>". The most similar tweets were, 
1. On 2018-08-16 11:48:56, OriginalFresca handle of company bacardi tweeted. The tweet was "<mention> “Courtesy” meeting <hyperlink>". This tweet got 3 number of likes. 
2. On 2018-06-09 17:39:24, BacardiWIL handle of company bacardi tweeted. The tweet was "Happy #NationalRoséDay 🥂🍾 #Cheers <mention> <hyperlink>". This tweet got 1 number of likes. 
3. On 2020-01-16 21:02:43, OriginalFresca handle of company bacardi tweeted. The tweet was "Here’s a sneak peek about <mention> <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
