<|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 2019-05-14 18:52:02, rbcgamnews from company rbc tweeted. The tweet was "This week, we take a comprehensive look at U.S.-China trade woes, discuss Canadian provincial economies, and review a couple data points in the #MacroMemo <hyperlink> <hyperlink>". The most similar tweets were, 
1. On 2018-04-06 23:43:22, CBCPolitics handle of company cbc tweeted. The tweet was "Chinese ambassador calls for Canada's cooperation in U.S. trade fight <hyperlink> #hw #cdnpoli <hyperlink>". This tweet got 55 number of likes. 
2. On 2018-03-16 04:01:06, CNN handle of company cnn tweeted. The tweet was "No, Mr. President. The US doesn't have a trade deficit with Canada <hyperlink> <hyperlink>". This tweet got 644 number of likes. 
3. On 2018-03-15 18:35:06, CNN handle of company cnn tweeted. The tweet was "No, Mr. President. The US doesn't have a trade deficit with Canada <hyperlink> <hyperlink>". This tweet got 1445 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
