<|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 2018-10-31 12:00:06, UPSAirlines from company ups tweeted. The tweet was "#HappyHalloween from <mention>! ✈️📦🌎🎃 <hyperlink>". The most similar tweets were, 
1. On 2018-01-01 05:00:39, UPSAirlines handle of company ups tweeted. The tweet was "Hello 2018! #HappyNewYear <hyperlink>". This tweet got 76 number of likes. 
2. On 2020-11-26 14:00:50, UPSAirlines handle of company ups tweeted. The tweet was "Happy #Thanksgiving from <mention>! 🦃 <hyperlink>". This tweet got 66 number of likes. 
3. On 2018-10-02 21:03:02, UPSAirlines handle of company ups tweeted. The tweet was "Well, hi there! ✈️💌❤️ <hyperlink>". This tweet got 350 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
189<|im_end|>
