<|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 2018-10-12 14:52:27, BBCOne from company bbc tweeted. The tweet was ".<mention> is such a big fan of <mention> that he had to get a nearly selfie. (We love that <mention> made it in to the picture too!)

Backstage at #TheGNShow - tonight at 10.35pm, BBC One. <hyperlink>". The most similar tweets were, 
1. On 2019-03-10 12:00:01, wearefreeradio handle of company free tweeted. The tweet was ".<mention> is on the #UKChartShow with <mention> today! Listen from 4pm <hyperlink>

Hear his chat with <mention> here - <hyperlink>". This tweet got 792 number of likes. 
2. On 2018-07-29 05:02:14, cameronesposito handle of company cameron tweeted. The tweet was "And <mention> is SO GOOD onstage

I will perform standup like him now <hyperlink>". This tweet got 236 number of likes. 
3. On 2019-05-31 10:42:34, Tesco handle of company tesco tweeted. The tweet was "<mention> <mention> <mention> <mention> So that's why he looks so good! - Andy 🙃

#EveryLittleHelps

<hyperlink> <hyperlink>". This tweet got 396 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
