<|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 2019-01-04 11:48:41, MicrosoftIndia from company microsoft tweeted. The tweet was "Online shopping can get a little tricky. Make your transactions hassle-free with #SMSOrganizer by cutting out the spam and retrieving OTPs from your inbox. <hyperlink> <hyperlink>". The most similar tweets were, 
1. On 2018-11-22 18:20:53, Tesco handle of company tesco tweeted. The tweet was "<mention> ...Only 50p - Sandeep 😬
#Tesco #Offers
<hyperlink> <hyperlink>". This tweet got 331 number of likes. 
2. On 2019-06-25 15:48:58, Tesco handle of company tesco tweeted. The tweet was "<mention> Here is one to try - Sandeep
#Tesco #Offers
<hyperlink> <hyperlink>". This tweet got 130 number of likes. 
3. On 2019-01-31 17:37:06, MicrosoftStore handle of company microsoft tweeted. The tweet was "<mention> Don't worry... <hyperlink>". This tweet got 87 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
61<|im_end|>
