<|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 2020-05-11 09:27:36, BBCRB from company bbc tweeted. The tweet was "Stag-ering scenes in Knowle! 🦌 <hyperlink>". The most similar tweets were, 
1. On 2018-02-21 17:33:22, ITG_Ltd handle of company independent tweeted. The tweet was "Did you miss last night's thrilling episode of #Shetland? Catch up on <mention>.

👉 <hyperlink>
⭐️ <mention>
🎬 Director <mention>, Producer #EricCoulter &amp; Production Designer #MarkLeese <hyperlink>". This tweet got 50 number of likes. 
2. On 2019-03-27 03:32:23, cameronesposito handle of company cameron tweeted. The tweet was "good a time as any to remember this scene exists <hyperlink>". This tweet got 994 number of likes. 
3. On 2019-12-26 12:51:03, IndependentNGR handle of company independent tweeted. The tweet was "EPL Christmas Schedule A Crime – Liverpool boss Klopp <hyperlink> <hyperlink>". This tweet got 0 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
