<|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 2019-02-27 13:09:57, BBYNews from company best buy tweeted. The tweet was "Hubert thanks <mention> employees for their hard work in driving our strong Q4. $BBY <hyperlink>". The most similar tweets were, 
1. On 2018-08-14 10:05:53, HomeDepot handle of company the home depot tweeted. The tweet was "Our Q2 2018 earnings news release is now available: <hyperlink> $HD #HDEarnings <hyperlink>". This tweet got 221 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 2018-08-14 10:05:53, HomeDepot handle of company home depot tweeted. The tweet was "Our Q2 2018 earnings news release is now available: <hyperlink> $HD #HDEarnings <hyperlink>". This tweet got 221 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
