<|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 2018-05-16 11:09:23, BBCNews from company bbc tweeted. The tweet was "House of Commons applauds police officers who apprehended MP Jo Cox's killer and are attending #PMQs today 

<hyperlink> <hyperlink>". The most similar tweets were, 
1. On 2019-11-29 17:53:08, policeconduct handle of company independent tweeted. The tweet was "Following the terrible incident on London Bridge this afternoon, please find a statement about the mandatory investigation we have started.

Our thoughts and sympathies are with all those affected, including the injured, their loved ones and those who bravely responded <hyperlink>". This tweet got 52 number of likes. 
2. On 2020-09-26 23:08:28, CBCPolitics handle of company cbc tweeted. The tweet was "Parliamentary police service boosts Hill presence after string of harassment incidents <hyperlink> #hw #cdnpoli <hyperlink>". This tweet got 95 number of likes. 
3. On 2020-11-06 11:09:39, CBCPolitics handle of company cbc tweeted. The tweet was "Commons planning new security measures as MPs report threats of violence <hyperlink> #hw #cdnpoli <hyperlink>". This tweet got 49 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
