<|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 2018-12-31 18:00:00, bbceastenders from company bbc tweeted. The tweet was "Bring on the #NewYearsEve party in Walford! No party poopers allowed. #EastEnders <hyperlink>". The most similar tweets were, 
1. On 2020-07-05 16:06:29, RoyalFreeNHS handle of company free tweeted. The tweet was "Our staff came out in force to take part in the NHS birthday clap today! That was emotional! 👏👏👏 <hyperlink>". This tweet got 341 number of likes. 
2. On 2018-09-19 16:00:01, AMCtvUK handle of company amc tweeted. The tweet was "✨Competition klaxon!✨
How would you like to attend an exclusive event celebrating #SnatchTV season 2 in a swanky London location?! 
👉 <hyperlink> <hyperlink>". This tweet got 19 number of likes. 
3. On 2020-03-26 13:07:01, waitrose handle of company waitrose tweeted. The tweet was "Tonight at 8pm, we’re celebrating our NHS heroes and showing our appreciation. #ClapForOurCarers <hyperlink>". This tweet got 182 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
