<|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 2018-04-12 09:00:01, Pfizer_UK from company pfizer tweeted. The tweet was "Looking for something to do during the #easterholidays? Why not visit <mention> to find out what you can do to help fight the #superbugs <hyperlink> <hyperlink>". The most similar tweets were, 
1. On 2018-02-02 12:30:01, Pfizer_UK handle of company pfizer tweeted. The tweet was "Why not visit <mention> this weekend to find out what you can do to help fight the #superbugs <hyperlink> <hyperlink>". This tweet got 2 number of likes. 
2. On 2019-02-14 17:30:01, Pfizer_UK handle of company pfizer tweeted. The tweet was "We all have a role in the fight against the #Superbugs – from the pharmaceutical industry, to government and the general public. Here are some of the ways we’re playing our part…<hyperlink> #AMR #JoinTheFight 🦠 <hyperlink>". This tweet got 5 number of likes. 
3. On 2019-05-16 14:00:02, Pfizer_UK handle of company pfizer tweeted. The tweet was "#DYK we work together with community organisations and other partners to help make a positive impact on the community, such as our corporate sponsorship of the <mention> #Superbugs exhibition. Find out more: <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
2<|im_end|>
