<|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 22:51:02, WhiteHouse45 from company house tweeted. The tweet was "As output soars and President <mention> negotiates better market access for our energy producers, we're exporting more and more American energy to the rest of the world. <hyperlink> <hyperlink>". The most similar tweets were, 
1. On 2018-10-10 01:09:22, Independent handle of company independent tweeted. The tweet was "'How can we seriously tackle climate change when one of the biggest barriers to reducing emissions is sitting in the White House?' <hyperlink> <hyperlink>". This tweet got 46 number of likes. 
2. On 2020-03-10 23:39:32, IndependentNGR handle of company independent tweeted. The tweet was "Trump, Saudi Crown Prince Meet, Discuss Energy Markets <hyperlink> <hyperlink>". This tweet got 1 number of likes. 
3. On 2018-04-05 13:00:13, Independent handle of company independent tweeted. The tweet was "The world is now spending more on renewable energy than every other type of power combined <hyperlink> <hyperlink>". This tweet got 71 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
