<|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 2020-07-16 11:59:24, SonyMusicAfrica from company sony tweeted. The tweet was "And thank you, <mention>  for the new music, 'Smile' featuring <mention> 👉🏽 <hyperlink> <hyperlink>". The most similar tweets were, 
1. On 2020-10-02 13:58:38, amazonmusic handle of company amazon tweeted. The tweet was "Happy #WorldSmileDay! We'll be rocking <mention>'s latest album if you need us.  

What songs make you smile? 😃
🎧: <hyperlink> <hyperlink>". This tweet got 469 number of likes. 
2. On 2020-06-15 09:00:15, primevideosport handle of company amazon tweeted. The tweet was "BOOM 💥😆

The smile says it all… <hyperlink>". This tweet got 330 number of likes. 
3. On 2020-08-23 15:58:47, amazonmusic handle of company amazon tweeted. The tweet was ".<mention> just delivered a majestic new take on <mention>'s "thank u, next" 💎 

Press play on the Amazon Original now 🎧: <hyperlink> <hyperlink>". This tweet got 323 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
