<|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 2019-02-24 17:19:00, DoctorWho_BBCA from company bbc tweeted. The tweet was "Now you're speaking our language, Yaz! #DoctorWho <hyperlink>". The most similar tweets were, 
1. 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. 
2. On 2018-05-23 20:52:38, thisisWurlD handle of company free tweeted. The tweet was "New language ⚡️ <mention> <mention> 🌊🌊 <hyperlink>". This tweet got 66 number of likes. 
3. On 2020-08-10 15:13:54, luh_cam_ handle of company cameron tweeted. The tweet was "TOGETEHR OUR VOICES WILL BE HEARD‼️ #WeAreUnited <hyperlink>". This tweet got 518 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
