<|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 00:00:00, bbcasiannetwork from company bbc tweeted. The tweet was "Did you know <mention> is a massive superstar in Germany?! Meet some of his biggest fans to find out how and why. <hyperlink>". The most similar tweets were, 
1. On 2018-03-13 08:51:01, fpjindia handle of company free tweeted. The tweet was "Find out what made <mention> the World’s Biggest Superstar

<hyperlink> <hyperlink>". This tweet got 92 number of likes. 
2. On 2018-06-09 15:07:11, mikewilliamsdj handle of company williams tweeted. The tweet was "Germany last week🚀❤️ #WCD <hyperlink>". This tweet got 136 number of likes. 
3. On 2020-07-03 10:17:08, SiemensHealth handle of company siemens tweeted. The tweet was "Welcome <mention> at <mention> and welcome back to the Bundesliga.⚽️ <hyperlink> <hyperlink>". This tweet got 42 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
