<|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 2019-03-01 16:13:56, BBCRadio2 from company bbc tweeted. The tweet was "A <mention> classic, an anthem from <mention>, a <mention> reinvention, <mention>’ debut, and one of <mention>’s most romantic hits.

Soundtrack your weekend with <mention>’ latest pick of stone-cold 90s classics.

🔊 <hyperlink>
<hyperlink>". The most similar tweets were, 
1. On 2019-08-02 04:00:58, Spotify handle of company spotify tweeted. The tweet was "Another anthem from <mention> 🏹

Listen to #boyfriend with <mention> now 🖤
<hyperlink> <hyperlink>". This tweet got 28655 number of likes. 
2. On 2020-09-02 09:18:57, AmazonMusicUK handle of company amazon tweeted. The tweet was "So many remixes, so many dancefloor anthems. What's your <mention> "Club Future Nostalgia" recommendation? 😎 

🎧 <hyperlink> <hyperlink>". This tweet got 386 number of likes. 
3. On 2019-05-02 20:25:12, Target handle of company target tweeted. The tweet was "We're in the mood to make a <mention> playlist. What song best describes your #TargetRun? <hyperlink>". This tweet got 88 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
