<|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 2018-02-09 05:48:49, UCLAMBB from company ucla tweeted. The tweet was "Yeah ... we 👀 you, G.G.!

#GoBruins <hyperlink>". The most similar tweets were, 
1. On 2019-11-13 01:39:23, EmersonLotzia handle of company emerson tweeted. The tweet was "👀 bruins after that second period <hyperlink>". This tweet got 2 number of likes. 
2. On 2020-11-06 02:46:43, EmersonLotzia handle of company emerson tweeted. The tweet was "<mention> you go, big boy 🥛 <hyperlink>". This tweet got 1 number of likes. 
3. On 2019-10-22 23:36:48, UCLAHealth handle of company ucla health tweeted. The tweet was "We can’t wait for tonight’s tip-off of another exciting season with our partners, the <mention>! #TeamUCLALakers <hyperlink>". This tweet got 76 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
