<|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 2018-09-24 12:37:15, MorningExp from company express tweeted. The tweet was "WOW! That HIGH NOTE! 

Watch Malea Emma's full performance: <hyperlink> <hyperlink>". The most similar tweets were, 
1. On 2018-07-20 13:27:45, AMCTheatres handle of company amc tweeted. The tweet was "Emma from <mention> gives us the scoop on the girl geek perspective at #SDCC! <hyperlink>". This tweet got 22 number of likes. 
2. On 2020-09-18 16:00:11, AmericanExpress handle of company american express tweeted. The tweet was "TONIGHT ONLY. Don’t miss <mention> ’ #AmexUNSTAGED performance of her new album. RSVP at: <hyperlink> Tune in at 6PM ET/3PM PT from anywhere in the world to be a part of the special moment. <hyperlink>". This tweet got 58 number of likes. 
3. On 2019-07-02 03:59:51, TylerJCameron3 handle of company cameron tweeted. The tweet was "Upon further review: Issa video <hyperlink> <hyperlink>". This tweet got 2654 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
