<|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 2018-09-06 21:36:06, LGUS from company lg electronics tweeted. The tweet was "Looking for New York’s hottest #FashionWeek trend? We say. #LGMATTEBlack #MadeToStandOut #NYFW <hyperlink>". The most similar tweets were, 
1. On 2020-02-14 17:43:00, TommyHilfiger handle of company tommy hilfiger tweeted. The tweet was "Hello, London Fashion Week! 👋🇬🇧 #TOMMYNOW #TommyHilfiger #TommyXLewis #LFW <hyperlink>". This tweet got 20856 number of likes. 
2. On 2019-12-10 18:00:16, UrbanOutfitters handle of company urban outfitters tweeted. The tweet was "a r e y o u f e e l i n g i t n o w ?
<hyperlink> <hyperlink>". This tweet got 232 number of likes. 
3. On 2018-07-24 15:00:10, UrbanOutfitters handle of company urban outfitters tweeted. The tweet was "a favorite for the fall 🍂
<hyperlink> <hyperlink>". This tweet got 262 number of likr 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
44<|im_end|>
