<|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 2018-07-17 08:10:04, BofA_Business from company bank of america tweeted. The tweet was "James Barty will appear on <mention> w/ <mention> today from 09:40am ET <hyperlink>". The most similar tweets were, 
1. On 2018-06-14 02:15:39, CiscoUmbrella handle of company cisco tweeted. The tweet was "📍Gringotts Bank #CLUS <hyperlink>". This tweet got 2 number of likes. 
2. On 2020-02-25 17:08:26, SchwabCupFinale handle of company charles schwab tweeted. The tweet was "<mention> thanks for a wonderful evening at <mention> for the <mention> <hyperlink>". This tweet got 1 number of likes. 
3. On 2018-10-24 16:45:01, CiscoPartners handle of company cisco tweeted. The tweet was "See how our #partners <mention>, <mention> &amp; <mention> helped one bank meet new compliance rules and build a better customer experience: <hyperlink> <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
