<|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 2019-03-25 14:07:00, BBCR1 from company bbc tweeted. The tweet was "THE perfect Monday afternoon listen. 💖

We're still SO obsessed with <mention> and <mention>'s cover of <mention>'s 'No Tears Left To Cry' ✨

Full performance: <hyperlink> <hyperlink>". The most similar tweets were, 
1. On 2018-07-11 13:30:01, amazonmusic handle of company amazon tweeted. The tweet was "We're all about <mention> right now! #AskAlexa, "Play the Song of the Day" to stream "no tears left to cry" <hyperlink> #PrimeDay <hyperlink>". This tweet got 723 number of likes. 
2. On 2018-04-20 17:30:51, amazonmusic handle of company amazon tweeted. The tweet was "It's <mention> with your #SOTD! #JustAsk, "Alexa, play the Song of the Day" to hear "No Tears Left To Cry" <hyperlink> <hyperlink>". This tweet got 3136 number of likes. 
3. On 2018-01-07 05:03:10, MSTheater handle of company microsoft tweeted. The tweet was "No tears for <mention> tonight after an amazing performance #TheGreatXscapeTour <hyperlink>". This tweet got 117 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
