<|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 2019-09-22 22:40:08, MSTheater from company microsoft tweeted. The tweet was "Good luck tonight <mention>!!! She is nominated for #OutstandingSupportingActress in a Drama Series for playing Brienne of Tarth on <mention> <hyperlink>". The most similar tweets were, 
1. On 2018-09-13 18:43:33, MSTheater handle of company microsoft tweeted. The tweet was "Catch a sneak peek at where your favorite celebrities will be sitting for the #Emmys this Monday at Microsoft Theater! <mention> <hyperlink>". This tweet got 236 number of likes. 
2. On 2018-06-05 12:18:34, METROFMSA handle of company sabc tweeted. The tweet was "She's on #LTP #CentreStage - it's the beautiful <mention> straight from winning the  Best Video Awards at #SAMA24. <hyperlink>". This tweet got 251 number of likes. 
3. On 2019-10-17 16:03:40, msftsecurity handle of company microsoft tweeted. The tweet was "Congratulations, <mention>, for being named <mention> Woman of Influence! <hyperlink>". This tweet got 103 number of likr 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
384<|im_end|>
