<|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 2020-11-18 01:19:13, cnnphilippines from company cnn tweeted. The tweet was "THREAD: Vice President <mention> entertains questions from the media in Camarines Sur | LIVE <hyperlink>

Tweets by our digital producers <mention> and <mention> <hyperlink>". The most similar tweets were, 
1. On 2018-07-31 05:42:44, cnnphilippines handle of company cnn tweeted. The tweet was "You asked, they answered. <mention>, <mention>, <mention> of the <mention> reply to questions sent online #CNNPHSportsDesk <hyperlink>". This tweet got 578 number of likes. 
2. On 2018-09-29 12:59:46, cnnphilippines handle of company cnn tweeted. The tweet was "<mention> LOOK: Loisa Andalio <mention> and Ronnie Alonte at the #ABSCBNBall2018 | <mention> <hyperlink>". This tweet got 666 number of likes. 
3. On 2018-09-29 11:17:33, cnnphilippines handle of company cnn tweeted. The tweet was "LOOK: <mention> and <mention> arrive at the #ABSCBNBall2018 | <mention> <hyperlink>". This tweet got 723 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
558<|im_end|>
