<|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 2020-06-16 19:02:18, BBCHolbyCity from company bbc tweeted. The tweet was "We're shipping these two! 🥰 #HolbyCity HR <hyperlink>". The most similar tweets were, 
1. On 2018-02-02 17:54:10, Target handle of company target tweeted. The tweet was "Time for a #TargetRun! <mention>'s new album and exclusive vinyl of #ManOfTheWoods are here. Get yours now: <hyperlink> 🎶 <hyperlink>". This tweet got 726 number of likes. 
2. On 2018-03-05 01:39:20, cameronesposito handle of company cameron tweeted. The tweet was "i ship it <hyperlink>". This tweet got 2696 number of likes. 
3. On 2019-01-28 14:01:42, PaytmTickets handle of company paytm tweeted. The tweet was "Tickets for #LoveYourselfinSeoulFilm are live! Book them before they get sold out! <hyperlink>

Releasing on Feb 2nd only at a PVR Cinema near you! #BTSAtPVR💜💜 
Which city are you going to? Reply below 👇 <hyperlink>". This tweet got 383 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
