<|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 2018-11-17 20:03:09, bbcstrictly from company bbc tweeted. The tweet was "Awww what an emotional night for <mention>! Three 10s and dancing in front of his Nana at #Blackpool #Strictly <hyperlink>". The most similar tweets were, 
1. On 2019-11-30 22:24:14, ThomasGouldSF handle of company td tweeted. The tweet was "Great night at the St. Vincent’s H&amp;F and Camogie Club Strictly Come Dancing. Relaxing with family and friends and club mates <hyperlink>". This tweet got 154 number of likes. 
2. On 2018-04-28 17:37:15, stadiumastro handle of company astro tweeted. The tweet was "[MUST WATCH!!!]
What Mourinho said that made <mention> emotional: <hyperlink>
#B4KO <hyperlink>". This tweet got 115 number of likes. 
3. On 2019-11-04 10:39:46, JasonBell33 handle of company bell tweeted. The tweet was "What a game yesterday at Wembley! The #bbc Broadcast was on 🔥. Much respect to all the fans who stayed after to show the champ <mention> major love. <hyperlink>". This tweet got 396 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
