<|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 2018-01-16 12:28:59, bbceastenders from company bbc tweeted. The tweet was "❤️ Lacey Turner❤️ has been nominated for Best Serial Drama Performance at the 2018 NTA's! 🎉

Show your support and get voting: <hyperlink> <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 2020-07-28 18:35:36, TwitterTV handle of company twitter tweeted. The tweet was "Everyone in this photo is an Emmy nominee. <hyperlink>". This tweet got 20496 number of likes. 
3. On 2019-01-28 02:32:35, CBC handle of company cbc tweeted. The tweet was "Sandra Oh wins Outstanding Performance by a Female Actor in a Drama Series 👏 #SAGAwards <hyperlink>". This tweet got 600 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
