<|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 2018-02-04 11:00:04, BBCOne from company bbc tweeted. The tweet was "In tonight's #CallTheMidwife there's a beauty contest, a strained relationship and a devastating diagnosis. 📺8pm on <mention>. <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 2018-04-16 14:21:52, cameronesposito handle of company cameron tweeted. The tweet was "Today on <mention>: author/actor/creator &amp; #TakeMyWife S2 cast member <mention>!! <hyperlink> <hyperlink>". This tweet got 209 number of likes. 
3. On 2018-04-16 19:10:23, cameronesposito handle of company cameron tweeted. The tweet was "stars on <mention> #TakeMyWife <hyperlink>". This tweet got 772 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
