<|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 2018-03-01 02:30:00, AMCTheatres from company amc tweeted. The tweet was "We still get goosebumps listening to #ViolaDavis' #Oscars acceptance speech from last year. #AMCOscarsCountdown <hyperlink>". The most similar tweets were, 
1. On 2018-03-04 18:41:12, AMCTheatres handle of company amc tweeted. The tweet was "We’re with movie fans all day for the #Oscars Fan Experience. Hear their picks for #BestPicture. <hyperlink>". This tweet got 47 number of likes. 
2. On 2020-02-10 00:49:46, AMCTheatres handle of company amc tweeted. The tweet was "Q4. Who had the best #Oscars acceptance speech of all time? #OscarsTwitterChat <hyperlink>". This tweet got 25 number of likes. 
3. On 2019-01-22 17:48:47, AMCTheatres handle of company amc tweeted. The tweet was "Let's dive into these #BestPicture #OscarNoms. Read on then tell us what you think. <hyperlink> <hyperlink>". This tweet got 41 number of likr 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
50<|im_end|>
