<|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 2019-09-07 18:54:16, bbcstrictly from company bbc tweeted. The tweet was "That reaction though 👌 We've got a feeling <mention> and <mention> are thrilled to be #Strictly partners! <hyperlink>". The most similar tweets were, 
1. On 2020-03-31 15:37:36, TheAA_UK handle of company aa tweeted. The tweet was "Proud to partner with <mention> to #KeepBritainMoving #ThankYouNHS 🚑🚑 <hyperlink>". This tweet got 42 number of likes. 
2. On 2020-02-14 16:21:09, PepsiCo handle of company pepsico tweeted. The tweet was "#HappyValentinesDay! Just a reminder that <mention> is the perfect partner for just about everything (and everyone!) 💋 <hyperlink>". This tweet got 64 number of likes. 
3. On 2020-11-12 16:30:18, CBCComedy handle of company cbc tweeted. The tweet was "Oh my gee. A little bit Enrique (<mention>) from <mention>. <hyperlink>". This tweet got 175 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
