<|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 2019-11-03 19:35:57, bbcstrictly from company bbc tweeted. The tweet was "Making the #Strictly Ballroom Shine even more than usual (if that's possible!), put your hands together for <mention>. 👏✨ <hyperlink>". The most similar tweets were, 
1. On 2019-10-05 09:17:36, primevideosport handle of company amazon tweeted. The tweet was "The crowd for #ENGvARG is rocking in Portsmouth 😂

<hyperlink>". This tweet got 558 number of likes. 
2. On 2019-02-20 19:32:04, wearefreeradio handle of company free tweeted. The tweet was ".<mention> spotting <mention> at the BRIT Awards is all of us 🤣

Listen for all the backstage goss! <hyperlink> <hyperlink>". This tweet got 83 number of likes. 
3. On 2018-09-11 02:01:25, ArlanWasHere handle of company free tweeted. The tweet was "Announcing Backstage Accelerator on stage at <mention> Disrupt last week with <mention> <mention> <mention> <mention> <mention> and the whole <mention> Crew🙌🏾 <hyperlink>". This tweet got 96 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
