<|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 21:00:00, BBCOne from company bbc tweeted. The tweet was "The much-missed June Whitfield stars in #AbFab The Movie, on BBC One now. <hyperlink>". The most similar tweets were, 
1. On 2020-01-09 22:38:28, KateWilliamsme handle of company williams tweeted. The tweet was "Look at me with a superstar!!! I love <mention> - fellow Birmingham girl! Must try not to be too star struck (but then all the bbc security guards were too). We are up soon on <mention> talking #Harry and #Meghan #Sussex #Royals <mention> <hyperlink>". This tweet got 388 number of likes. 
2. On 2020-09-26 19:11:49, primevideosport handle of company amazon tweeted. The tweet was "*Spend £222 million in the summer*

3-0 down against West Brom 🙃

Saved by the academy stars 👏

#WBACHE <hyperlink>". This tweet got 439 number of likes. 
3. On 2018-09-16 17:00:01, AMCTheatres handle of company amc tweeted. The tweet was ".<mention> and <mention> star in #ABoyAGirlADream - now playing at select AMC Theatres! Get tix: <hyperlink> <hyperlink>". This tweet got 18 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
