<|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 2020-02-18 20:06:37, BBCHolbyCity from company bbc tweeted. The tweet was "It's very nice to have you back, Mr Hanssen 💙 #HolbyCity HR <hyperlink>". The most similar tweets were, 
1. On 2020-09-13 18:36:30, branwilliams handle of company williams tweeted. The tweet was "Good to be back 😀 <hyperlink>". This tweet got 19287 number of likes. 
2. On 2018-08-27 08:00:00, AmexUK handle of company american express tweeted. The tweet was "Who’s always had your back no matter what? Tag them using #BackedByAmex to show your appreciation and to be in with a chance to #win 2 tickets to <mention> London Film Festival. T&amp;C: <hyperlink> <hyperlink>". This tweet got 1203 number of likes. 
3. On 2020-09-25 00:50:57, crising7 handle of company cameron tweeted. The tweet was "November 6th! We’re back! <hyperlink>". This tweet got 326 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
