<|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 2018-10-28 21:07:49, BBCTwo from company bbc tweeted. The tweet was "It's aliiiiiiive... episode of #InsideNo9! Tonight, 10pm, <mention>. 🚪😱📺 <hyperlink>". The most similar tweets were, 
1. On 2019-04-25 19:46:42, cameronesposito handle of company cameron tweeted. The tweet was "Behind the scenes or in the episode, living to stare at <mention>. Oh &amp; im back tonight!! #Brooklyn99 <hyperlink>". This tweet got 6188 number of likes. 
2. On 2019-12-02 17:47:00, AMCtvUK handle of company amc tweeted. The tweet was "Hello? The penultimate episode of #TheTerror speaking ☎️ Tonight 9pm <hyperlink>". This tweet got 0 number of likes. 
3. On 2019-06-25 14:30:00, AMCtvUK handle of company amc tweeted. The tweet was "New episode of #TheSon tonight at 9 <hyperlink>". This tweet got 1 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
