<|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 2018-09-14 11:00:07, Burberry from company burberry tweeted. The tweet was "Watch the #BurberryShow live, 17 September, 17:00 BST. Like this post 🖤 to receive a reminder before the show starts <hyperlink>". The most similar tweets were, 
1. On 2020-06-23 10:10:03, IndependentNGR handle of company independent tweeted. The tweet was "Burberry To Host Outdoor Show In September <hyperlink> <hyperlink>". This tweet got 1 number of likes. 
2. On 2019-10-24 13:30:00, IFFBoston handle of company independent tweeted. The tweet was "NEW: <mention>'s star-studded whodunnit KNIVES OUT screens early &amp; for free as part of our #ScreeningSeries on 10/30: <hyperlink> <hyperlink>". This tweet got 108 number of likes. 
3. On 2019-05-01 16:26:04, belk handle of company belk tweeted. The tweet was "Our Charity Day Sale is 5/4! Support your community &amp; purchase your tickets in store now. <hyperlink> <hyperlink>". This tweet got 411 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
