<|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 2018-04-17 19:10:20, BBCHolbyCity from company bbc tweeted. The tweet was "We're sorry to the bearers of bad news. Ms. Naylor needs some additional leave and won't be returning to Darwin just yet... ☹️ #HolbyCity HR <hyperlink>". The most similar tweets were, 
1. On 2020-08-13 01:10:05, Rtreatwilliams handle of company williams tweeted. The tweet was "Goodnight. There is a bit of hope in the air today <hyperlink>". This tweet got 745 number of likes. 
2. On 2020-11-11 10:00:01, tesconews handle of company tesco tweeted. The tweet was "Thank you to all our customers for supporting this year’s #poppyappeal, please join us for a moment of silence this #ArmisticeDay <mention> <hyperlink>". This tweet got 157 number of likes. 
3. On 2018-06-23 18:06:43, olibellracing handle of company bell tweeted. The tweet was "Hats off to <mention> for putting on another amazing meeting. Massive thanks to all of the brilliant <mention> team, and all the trainers, owners and jockeys for their time, particularly Clive Cox who spoke in very difficult circumstances. Hope you all enjoyed it as much as we did <hyperlink>". This tweet got 568 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
