<|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 2019-05-07 17:46:25, Mango from company mango tweeted. The tweet was "Ruffles dress or fringed dress? 
#MangoxMetGala #MetGala <hyperlink>". The most similar tweets were, 
1. On 2019-11-07 06:13:35, METROFMSA handle of company sabc tweeted. The tweet was "What are you wearing? We want to know , post a picture of your look for the day and tag <mention> and #MLFTD 
#TheMorningFlava with <mention> <mention> <mention> <hyperlink>". This tweet got 113 number of likes. 
2. On 2019-04-05 19:00:05, lanebryant handle of company lane bryant tweeted. The tweet was "Dress to fit your life. ✨
#CreateYourLane
Shop Dresses: <hyperlink> <hyperlink>". This tweet got 5 number of likes. 
3. On 2018-03-28 14:00:33, belk handle of company belk tweeted. The tweet was "Spring dresses with lace, ruffles and off-the-shoulder silhouettes. Obsessed! 🌼 #belkstyle <hyperlink> <hyperlink>". This tweet got 213 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
