<|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 2018-11-14 21:37:11, BBCOne from company bbc tweeted. The tweet was "Time to play... what's on #TheApprentice receptionist's screen today? <mention> <hyperlink>". The most similar tweets were, 
1. On 2020-08-26 20:32:19, HappyWoman9 handle of company williams tweeted. The tweet was "TONIGHT! Tune into <mention> on CBS for a special #PlayAtHome performance at 11:35/10:35 CT! 
<mention> #LateShowLive <hyperlink>". This tweet got 126 number of likes. 
2. On 2019-03-11 14:00:07, surface handle of company microsoft tweeted. The tweet was "It’s an #AnythingButOrdinary kind of morning. Get to it with a Surface Pro 6:  <hyperlink> #MondayMotivation <hyperlink>". This tweet got 97 number of likes. 
3. On 2018-03-10 23:30:00, AMCTheatres handle of company amc tweeted. The tweet was "Say hello to <mention>. #PreyAtNight is now playing! <hyperlink> <hyperlink>". This tweet got 43 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
