<|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 2020-02-14 22:02:00, DoctorWho_BBCA from company bbc tweeted. The tweet was ""Oh, I hate you."
"No, you don't."
#ValentinesDay #DoctorWho <hyperlink>". The most similar tweets were, 
1. On 2020-02-12 17:09:56, TwitterDev handle of company twitter tweeted. The tweet was "Doctors: Googling stuff online does not make you a doctor

Developers: <hyperlink>". This tweet got 1678 number of likes. 
2. On 2018-07-19 19:38:35, RadioFreeSkaro handle of company free tweeted. The tweet was "#DoctorWho - The Universe is Calling <hyperlink>". This tweet got 50 number of likes. 
3. On 2020-01-30 21:08:55, thisisWurlD handle of company free tweeted. The tweet was "messages like this reminds me that I’m on the right path 🦋 #DoctorLove 😇 <hyperlink>". This tweet got 119 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
