<|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 2018-01-02 18:55:52, MitsubishiHVAC from company trane tweeted. The tweet was "<mention> RT <mention> Behind the scenes of today <mention> system install #HVAC #pgh #downtowngbg <hyperlink>". The most similar tweets were, 
1. On 2018-03-07 17:00:11, MitsubishiHVAC handle of company trane tweeted. The tweet was "Sign up for one (or all) of our newsletters to get the latest industry news delivered right to your Inbox. #HVAC <hyperlink> <hyperlink>". This tweet got 4 number of likes. 
2. On 2018-04-13 16:57:58, MitsubishiHVAC handle of company trane tweeted. The tweet was "A beautiful day and start to the <mention> this Friday⛳️! #HVAC #golf <hyperlink>". This tweet got 4 number of likes. 
3. On 2019-11-30 21:08:04, MitsubishiHVAC handle of company trane tweeted. The tweet was "On #SmallBusinessSaturday we wanted to take a moment to acknowledge and give thanks for all the #HVAC contractors out there. We ❤️you! <hyperlink> <hyperlink>". This tweet got 2 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
1<|im_end|>
