<|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 2019-09-01 19:12:23, bbctennis from company bbc tweeted. The tweet was "Jo Konta has done it! She's through to the quarter-finals of the US Open for the first time. 

#USOpen live 👉 <hyperlink> #bbctennis <hyperlink>". The most similar tweets were, 
1. On 2018-09-11 15:02:01, CNN handle of company cnn tweeted. The tweet was "After a bizarre US Open final, now it's Naomi Osaka's time to shine <hyperlink> <hyperlink>". This tweet got 1278 number of likes. 
2. On 2018-09-11 11:21:38, CNN handle of company cnn tweeted. The tweet was "After a bizarre US Open final, now it's Naomi Osaka's time to shine <hyperlink> <hyperlink>". This tweet got 1683 number of likes. 
3. On 2020-06-18 15:40:07, IndependentNGR handle of company independent tweeted. The tweet was "Serena Set For US Open As Officials Vow Safety <hyperlink> <hyperlink>". This tweet got 0 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
