<|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 2018-10-01 17:23:30, Shoprite_NG from company shoprite tweeted. The tweet was "<mention> can't wait to meet our guests. #ShopriteLovesNaija #LoveLocalLoveNaija <hyperlink>". The most similar tweets were, 
1. On 2019-09-27 16:03:09, ShopRiteStores handle of company shoprite tweeted. The tweet was "<mention> We're happy to hear that! 😁 <hyperlink>". This tweet got 1 number of likes. 
2. On 2019-12-07 16:02:43, ShopRiteStores handle of company shoprite tweeted. The tweet was "<mention> Aww, that's precious! 😊🥰 <hyperlink>". This tweet got 0 number of likes. 
3. On 2019-08-28 15:50:36, ShopRiteStores handle of company shoprite tweeted. The tweet was "<mention> Oh stop, you're too sweet!😭❤️🍰 <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
3<|im_end|>
