<|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 2018-10-06 19:14:29, bbcthree from company bbc tweeted. The tweet was "*drinking wine, crying*

LOVE LIFT US UP WHERE WE BELONG

#Strictly <hyperlink>". The most similar tweets were, 
1. On 2020-10-05 22:34:53, realbdw handle of company williams tweeted. The tweet was "We are all struggling in our ways. Let’s lift each other up and hold our loved ones close 🙏🏻😎 <hyperlink>". This tweet got 3297 number of likes. 
2. On 2018-03-31 03:00:30, Aaryn_Williams handle of company williams tweeted. The tweet was "Crying in the club <hyperlink>". This tweet got 308 number of likes. 
3. On 2019-02-14 10:35:47, qatarairways handle of company qatar airways tweeted. The tweet was "Whether it’s up in the air or on the ground, let’s celebrate love across the world. <hyperlink>". This tweet got 122 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
