<|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 2018-11-20 17:00:32, UPMCHealthPlan from company upmc tweeted. The tweet was "UPMC Health Plan members will receive a 25-percent discount on the purchase of up to eight PSO tickets between November 27 and December 7! Get all the details here: <hyperlink> <hyperlink>". The most similar tweets were, 
1. On 2019-11-13 19:27:01, AAASouthPenn handle of company aaa tweeted. The tweet was "Download your FREE discount card or coupons from <mention> and save more at the pharmacy! Visit <hyperlink> #AAADiscounts #GoodRx #AAA <hyperlink>". This tweet got 0 number of likes. 
2. On 2019-11-21 19:27:02, AAASouthPenn handle of company aaa tweeted. The tweet was "Download your FREE discount card or coupons from <mention> and save more at the pharmacy! Visit <hyperlink> #AAADiscounts #GoodRx #AAA <hyperlink>". This tweet got 0 number of likes. 
3. On 2020-11-26 08:13:26, AASouthAfrica handle of company aa tweeted. The tweet was "Look out for our #BlackFriday2020 deals starting tomorrow. 
🚨 SPOILER ALERT 🚨 Get 20% off on selected items, use the discount code #BlackFriday. <hyperlink> <hyperlink>". This tweet got 1 number of 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
