<|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 2018-05-19 13:14:21, BBCR1 from company bbc tweeted. The tweet was "What a beautiful #RoyalWedding! Now, time for the speeches... 😏

<mention> <hyperlink>". The most similar tweets were, 
1. On 2018-05-19 11:42:08, Mike_P_Williams handle of company williams tweeted. The tweet was "This will be THE defining image of the #RoyalWedding. A photo that will become iconic; as it’s used in history books and decades down the line when recounting the day. <hyperlink>". This tweet got 163 number of likes. 
2. On 2018-05-19 10:40:02, CBCNews handle of company cbc tweeted. The tweet was "Meghan has arrived for the #RoyalWedding: <hyperlink> <hyperlink>". This tweet got 126 number of likes. 
3. On 2018-05-19 15:38:03, CNN handle of company cnn tweeted. The tweet was "Celebrities from the worlds of TV, film, music and sport lit up the #royalwedding with some striking fashion choices <hyperlink> <hyperlink>". This tweet got 778 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
