<|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 2018-05-21 17:00:02, BofA_Business from company bank of america tweeted. The tweet was "Proud to work with <mention> to improve lodging for our U.S. troops. <hyperlink> #MilitaryAppreciationMonth <hyperlink>". The most similar tweets were, 
1. On 2019-11-11 18:35:09, USAA handle of company usaa tweeted. The tweet was "<mention> Thanks for honoring our military community! -JC <hyperlink>". This tweet got 0 number of likes. 
2. On 2019-11-11 17:12:04, USAA handle of company usaa tweeted. The tweet was "<mention> Thank you for your service and sacrifice!  Happy Veterans Day ~ KK <hyperlink>". This tweet got 1 number of likes. 
3. On 2018-05-24 20:34:26, Verizon handle of company verizon tweeted. The tweet was "We are proud to be the #1 Military Friendly Company. And we’d like to thank our veterans for the invaluable experience, integrity and honor they bring to Verizon every day. #MilitaryAppreciationMonth <hyperlink> <hyperlink>". This tweet got 45 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
