<|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 2018-09-06 16:00:22, EmersonComRes from company emerson tweeted. The tweet was "A New York-based #HVAC technician shares insights on his job, the industry and beating the heat in this recent Vocations feature from The New York Times. <hyperlink> <hyperlink>". The most similar tweets were, 
1. On 2018-05-27 16:00:13, EmersonComRes handle of company emerson tweeted. The tweet was "Skilled professionals are in high demand. With opportunities abound, it's the perfect time to explore a career in #HVACR: <hyperlink> <hyperlink>". This tweet got 3 number of likes. 
2. On 2018-01-24 15:00:34, EmersonComRes handle of company emerson tweeted. The tweet was "Join us today at 11am CST as we discuss support and education for HVACR contractors. <hyperlink> #AHR2018 #WeSeeAHR <hyperlink>". This tweet got 2 number of likes. 
3. On 2020-05-07 22:00:37, EmersonComRes handle of company emerson tweeted. The tweet was "To ensure the safety of their employees, many #plumbing and #HVAC companies are adopting new ways to communicate with customers. Learn how companies are reaching out to their clients in the current climate. <hyperlink> <hyperlink>". This tweet got 0 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
4<|im_end|>
