<|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 2019-10-20 18:46:12, bbcstrictly from company bbc tweeted. The tweet was "It's #Strictly relief for <mention> <mention>! But David and Nadiya are in the Dance Off again. 😔 <hyperlink>". The most similar tweets were, 
1. On 2020-10-23 18:03:52, ljoywilliams handle of company williams tweeted. The tweet was "Dance break just because. <hyperlink>". This tweet got 115 number of likes. 
2. On 2019-11-18 16:04:00, robbiewilliams handle of company williams tweeted. The tweet was "Was great to perform in Manchester last night for <mention> x <hyperlink>". This tweet got 1099 number of likes. 
3. On 2019-05-04 22:01:37, wearefreeradio handle of company free tweeted. The tweet was "What an incredible night at #HitsLiveBirmingham with <mention> <mention> <mention> and so many more 😍😍😍 

We can't wait to do  it all again in November 🙌🙌
Tickets 👉 <hyperlink> <hyperlink>". This tweet got 343 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
