<|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 2019-11-26 14:00:01, BofA_Business from company bank of america tweeted. The tweet was "#GovernmentContracting firms are focused on hiring and retention to meet growing demand. For new insights and data, read our industry white paper <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 2020-05-11 13:20:34, BellRibeiroAddy handle of company bell tweeted. The tweet was "I’ve joined <mention>, <mention> and <mention> to ask Government to attach some basic conditions to state support for big companies: 

No loans for companies registered in tax havens. 

No shareholder payouts with public money.

No more excessive executive pay. <hyperlink>". This tweet got 437 number of likes. 
3. On 2020-10-26 21:00:03, WebexAhead handle of company cisco tweeted. The tweet was "What will the #futureofwork in government look like in this rapidly evolving landscape? Join us this Thursday, 10/29, where <mention> and <mention> will share their insight. <hyperlink> <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
