<|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 2019-09-27 21:56:21, UPSAirlines from company ups tweeted. The tweet was "Construction update! Work is coming along on the new ramp being built on the west side of <mention> to/from SDF 23. The ramp will be able to park six <mention> 747s! It’s planned to be in service for peak 2019. 🚧 <hyperlink>". The most similar tweets were, 
1. On 2019-12-12 13:30:25, UPSAirlines handle of company ups tweeted. The tweet was "Ramp 23 at <mention> is open! Thanks to the new ramp, we can increase aircraft parking and support our airline growth. ✈️✈️ #Louisville <hyperlink>". This tweet got 148 number of likes. 
2. On 2019-12-18 18:30:58, UPSAirlines handle of company ups tweeted. The tweet was "More views from our new Ramp 23 at <mention>. #Louisville
📸: Dwight C. (<mention>) <hyperlink>". This tweet got 117 number of likes. 
3. On 2020-01-07 13:30:19, UPSAirlines handle of company ups tweeted. The tweet was "Busy day on the ramp. ✈️ #avgeeks <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
75<|im_end|>
