<|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 2018-12-18 15:46:03, DoctorWho_BBCA from company bbc tweeted. The tweet was "'Twas the night before Christmas... #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 2019-12-25 13:05:09, WORLDWAD handle of company williams tweeted. The tweet was "Merry Christmas from #TheWadSquad❗️ <hyperlink>". This tweet got 366 number of likes. 
3. On 2020-12-13 16:42:16, robbiewilliams handle of company williams tweeted. The tweet was "Who saw Can’t Stop Christmas on <mention> last night? Download on iTunes here &gt;&gt; <hyperlink> #cantstopchristmas <hyperlink>". This tweet got 998 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
