<|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 2019-05-18 15:14:00, BBCR1 from company bbc tweeted. The tweet was "One week until we see <mention> again at #BigWeekend! 💘 Which song do you want to hear her perform? 👇 <hyperlink>". The most similar tweets were, 
1. On 2020-08-17 14:59:06, amazonmusic handle of company amazon tweeted. The tweet was "Start the week off right #TogetherAtHome 💜

➡️ <hyperlink>

👋 <mention> 
👋 <mention> 
👋 <mention> 
👋 <mention> 
👋 <mention> 
👋 <mention> <hyperlink>". This tweet got 301 number of likes. 
2. On 2020-01-09 18:17:26, CBCMusic handle of company cbc tweeted. The tweet was ".<mention> and her collaboration with <mention>
 made our list of songs you need to hear this week. 

Check out the list: <hyperlink> <hyperlink>". This tweet got 99 number of likes. 
3. On 2020-10-23 04:55:20, amazonmusic handle of company amazon tweeted. The tweet was ".<mention> is here to save 2020. Listen to her new track #positions now 🎧: <hyperlink> <hyperlink>". This tweet got 5156 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
