<|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 2019-10-18 07:30:00, PfizerEUPolicy from company pfizer tweeted. The tweet was "Pfizer is committed to prevent mother-to-child transmission of #HIV in Europe #WeWontRest <mention> 

<hyperlink> <hyperlink>". The most similar tweets were, 
1. On 2019-05-17 15:03:00, PfizerEUPolicy handle of company pfizer tweeted. The tweet was "We take our corporate responsibilities seriously. We are working hard on our #GlobalHealthGoal of providing more women in developing countries with access to #contraceptive and family planning options. ⬇️<hyperlink> <hyperlink>". This tweet got 1 number of likes. 
2. On 2019-02-19 15:30:00, PfizerEUPolicy handle of company pfizer tweeted. The tweet was "Our #Pfizercolleagues across the #EU are committed to delivering new and innovative #medicines to patients. View our team’s pledges: 
<hyperlink> #WeWontRest <mention> <hyperlink>". This tweet got 1 number of likes. 
3. On 2019-11-12 14:15:00, Pfizer_UK handle of company pfizer tweeted. The tweet was "Today is #WorldPneumoniaDay 🌍 We’re joining our partners in the battle against this potentially life-threatening illness by sharing the importance of prevention and protection #ProtectYourHero <hyperlink>". This tweet got 5 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|>
