<|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 2019-10-15 16:20:01, Pfizer_UK from company pfizer tweeted. The tweet was "Thanks to everyone who joined our session at #RCR19conf today, we hope you found the session valuable – and thank you to <mention> for putting on another great agenda <hyperlink>". The most similar tweets were, 
1. On 2018-06-13 07:37:01, Pfizer_UK handle of company pfizer tweeted. The tweet was "We’ll be involved in a number of sessions at <mention> this week – we’ll also be at Stand 27 and in the Innovation Zone so come and talk to us if you’re there #Confed18 <hyperlink>". This tweet got 2 number of likes. 
2. On 2018-08-15 12:25:02, Pfizer_UK handle of company pfizer tweeted. The tweet was "A big thanks to all of our UK colleagues who dedicated their time, expertise and enthusiasm to #volunteering projects this year! #CSR #CharityTuesday <hyperlink>". This tweet got 3 number of likes. 
3. On 2019-07-10 14:05:54, PfizerEUPolicy handle of company pfizer tweeted. The tweet was "Thanks to ⁦<mention>⁩ for today’s insightful conversation on the new ⁦<mention>⁩! Very interesting times ahead for public affairs. #EUelections2019 <mention> ⁦<mention>⁩ <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
4<|im_end|>
