<|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 2019-09-04 07:15:00, BBCBreakfast from company bbc tweeted. The tweet was "It's <mention> last day on the Breakfast sofa before maternity leave!
Team #BBCBreakfast are sending you a whole lot of ❤️ 

#maternity #parenting #WhatIsSleep <hyperlink>". The most similar tweets were, 
1. On 2018-05-02 00:52:52, cameronesposito handle of company cameron tweeted. The tweet was "#TakeMyWife is on <mention> now!! <hyperlink>". This tweet got 398 number of likes. 
2. On 2020-01-26 09:31:09, HMcEntee handle of company td tweeted. The tweet was "Discussing #Brexit on <mention> this morning. Seems my little niece was tuned in too 😍 <hyperlink>". This tweet got 208 number of likes. 
3. On 2018-04-16 17:54:16, cameronesposito handle of company cameron tweeted. The tweet was "Btw we’re STOKED!! #TakeMyWife streaming on <mention> starting 5/1
<hyperlink> <hyperlink>". This tweet got 1305 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
