<|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 2020-04-02 14:27:49, bbcquestiontime from company bbc tweeted. The tweet was "On Question Time tonight at 8pm are <mention>, <mention>, Donna Kinnair and <mention>.

We have no studio audience during the coronavirus emergency. If you have a question tell us below ⬇️ and we'll put your comments to the panel. #bbcqt <hyperlink>". The most similar tweets were, 
1. On 2020-03-25 22:18:33, SimonHarrisTD handle of company td tweeted. The tweet was "Sat down with <mention> of <mention> today for a wide ranging interview on the #coronavirus and the situation here in Ireland #Covid19 <hyperlink>". This tweet got 181 number of likes. 
2. On 2020-04-03 20:30:00, VirginMediaNews handle of company virgin media tweeted. The tweet was "#WATCH Coronavirus field hospital being built at University of Limerick

<mention> reports⤵️

#VMNews | <mention> | <mention> | #COVID19ireland | #COVID19Pandemic | #CoronavirusPandemic <hyperlink>". This tweet got 58 number of likes. 
3. On 2020-04-05 12:55:26, CBCKids handle of company cbc tweeted. The tweet was "WATCH NOW: PM <mention> and Dr. Theresa Tam answer kids' questions about coronavirus, on <mention>: <hyperlink> | <mention> <hyperlink>". This tweet got 664 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
