<|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 2018-02-28 18:30:09, Burberry from company burberry tweeted. The tweet was "Classic crests nod to the history of the <mention> logo. A #BurberryPhotoSeries by Rosie Marks. Shop the February capsule now <hyperlink> <hyperlink>". The most similar tweets were, 
1. On 2018-10-08 10:05:13, TommyHilfiger handle of company tommy hilfiger tweeted. The tweet was "Our new heritage inspired Crest Collection has landed. Add some to your fall wardrobe. 
<hyperlink>
 #IconsOfTomorrow <hyperlink>". This tweet got 98 number of likes. 
2. On 2020-10-23 13:25:00, primevideosport handle of company amazon tweeted. The tweet was "There's something about retro crests 🤩 <hyperlink>". This tweet got 1353 number of likes. 
3. On 2018-02-24 12:48:30, CameronMaybin handle of company cameron tweeted. The tweet was "A lot has changed since I last played for the <mention> ... new logo, no braces 🤣(thanks mom for sharing this pic, classic)! <hyperlink>". This tweet got 1848 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
