<|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 2018-02-05 14:00:01, chaptersindigo from company indigo tweeted. The tweet was "Shop in-store today and add a greeting card to your basket for a chance to win your purchase! In-store only. February 1-14. Exclusions apply. <hyperlink> #LoveForAll <hyperlink>". The most similar tweets were, 
1. On 2019-02-14 10:00:00, Shoprite_SA handle of company shoprite tweeted. The tweet was "Give a gift filled with love this #ValentinesDay! Visit our Money Market counter and get your Valentine a very special #ShopriteGiftCard.
&gt;&gt; <hyperlink> <hyperlink>". This tweet got 1 number of likes. 
2. On 2019-02-08 11:10:06, Shoprite_SA handle of company shoprite tweeted. The tweet was "At Shoprite, we have the perfect gift to spoil your loved one this Valentine’s Day! 
Valid until 14 February 2019. View more deals here: &gt;&gt; <hyperlink> <hyperlink>". This tweet got 4 number of likes. 
3. On 2019-07-21 14:43:41, ShopRiteStores handle of company shoprite tweeted. The tweet was "<mention> Us during the day! <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
