<|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 2018-02-12 02:24:41, airasia from company airasia tweeted. The tweet was "[Press Release] Love is in the air with #AirAsia X ♥️♥️♥️ <hyperlink>". The most similar tweets were, 
1. On 2019-01-01 01:03:11, airasia handle of company airasia tweeted. The tweet was "Let’s welcome the new year in the air! We wish you exciting travels and adventures this 2019. 

HAPPY NEW YEAR! <hyperlink>". This tweet got 123 number of likes. 
2. On 2020-10-14 04:15:12, airasia handle of company airasia tweeted. The tweet was "How it started:               How it’s going: <hyperlink>". This tweet got 190 number of likes. 
3. On 2019-09-21 16:00:09, airasia handle of company airasia tweeted. The tweet was "The time is now to get CRAZY and book your flights at <hyperlink> with the #AirAsiaBIGSale. Don't forget to log in as a BIG Member to get *FREE SEATS and priority access!
*Terms and conditions: <hyperlink> <hyperlink>". This tweet got 89 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
91<|im_end|>
