<|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 2018-05-11 11:03:38, Airbnb_uk from company airbnb tweeted. The tweet was "What better way to celebrate #SomersetDay than cozied up on a chaise longue with a good read and this stunning view into the wilderness?

📸: IG @ herrykinns <hyperlink>". The most similar tweets were, 
1. On 2020-09-28 07:08:23, MichelinGuideUK handle of company michelin tweeted. The tweet was "Autumn, early morning 
#Somerset <hyperlink>". This tweet got 91 number of likes. 
2. On 2020-06-20 20:45:15, CBCCalgary handle of company cbc tweeted. The tweet was "Look what we found while setting up for our curbside Neighbour Day party.  #yycneighbourday #cbcyycneighbourday #neighbourDayYYC <hyperlink>". This tweet got 62 number of likes. 
3. On 2020-02-16 23:17:54, MrBarryWilliams handle of company williams tweeted. The tweet was "Delightful Valentine brunch with my wife at ⁦<mention>⁩. #Valentine2020 #Chateauonthelake <hyperlink>". This tweet got 151 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
