<|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 2018-05-29 13:46:52, BBCR1 from company bbc tweeted. The tweet was "Ummm, did <mention> just reveal he was almost in The Greatest Showman? 😱

We are so here for a <mention> movie! <hyperlink>". The most similar tweets were, 
1. On 2018-05-15 11:50:45, TheIndyFilm handle of company independent tweeted. The tweet was "The Greatest Showman is heading to Broadway <hyperlink> <hyperlink>". This tweet got 106 number of likes. 
2. On 2019-05-16 04:29:14, ericpalicki handle of company aa tweeted. The tweet was "<mention> I mean...I have a soft spot for that movie. <hyperlink>". This tweet got 0 number of likes. 
3. On 2018-04-12 21:30:08, amazonmusic handle of company amazon tweeted. The tweet was "The one. The only. It's <mention> on Today in Music! Watch our full interview with The #GreatestShowman ⭐️ this way 👉 <hyperlink> <hyperlink>". This tweet got 246 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
