<|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 2019-12-08 19:57:50, bbcstrictly from company bbc tweeted. The tweet was "They danced, they laughed, they entertained us all. Thanks for so many great #Strictly moments <mention> and <mention>! <hyperlink>". The most similar tweets were, 
1. On 2020-04-10 11:00:01, ITG_Ltd handle of company independent tweeted. The tweet was "Actual footage of us watching <mention>'s #LoveWeddingRepeat. You won't be able to stop laughing. 😂  

⭐ Starring <mention>, <mention>, <mention>, #JackFarthing and #AlexForsyth <hyperlink>". This tweet got 52 number of likes. 
2. On 2018-02-11 02:22:32, CBCOlympics handle of company cbc tweeted. The tweet was "It's all smiles for <mention> and <mention> as they wrap up their short dance in #PyeongChang2018 

<mention> <hyperlink>". This tweet got 1520 number of likes. 
3. On 2019-12-26 18:40:02, funnybrad handle of company williams tweeted. The tweet was "Enjoy my appearance on the <mention> podcast with #ALittleBitOfTheBubbly <hyperlink> <hyperlink>". This tweet got 112 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
