<|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 2019-07-16 16:00:25, bbcpress from company bbc tweeted. The tweet was "Congratulations to <mention> who has been nominated for an award for Lead Actor in a Limited Series or Movie for his role in #AVeryEnglishScandal. #Emmys <hyperlink>". The most similar tweets were, 
1. On 2019-04-01 01:45:13, CBC handle of company cbc tweeted. The tweet was "Congratulations to <mention>, winner of Best Lead Actress, Drama Series for <mention>! 👒 #CdnScreenAwards <hyperlink>". This tweet got 154 number of likes. 
2. On 2018-09-18 02:32:57, MSTheater handle of company microsoft tweeted. The tweet was "The first win for <mention> who’s taking home the #EMMY tonight for Outstanding Lead Actor In A Limited Series or Movie #EMMYs <hyperlink>". This tweet got 115 number of likes. 
3. On 2018-03-05 05:38:42, TheIndyFilm handle of company independent tweeted. The tweet was "#Oscars winners list in full <hyperlink> <hyperlink>". This tweet got 77 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
