<|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 2019-02-03 08:00:00, BBCScrumV from company bbc tweeted. The tweet was "We were all sitting at home screaming at the TV during Friday's Wales game - and <mention>, family and H from Steps - aka <mention> - were no different! 😂

Tune into #ScrumV from 6pm on <mention> Wales to watch 'At Home With Alfie' in full! <hyperlink>". The most similar tweets were, 
1. 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. 
2. On 2018-11-16 21:16:31, AvivaUK handle of company aviva tweeted. The tweet was "We've taken over 1800 calls for #BBCchildreninneed so far! We're keeping our volunteers topped up with food and drink and we'll be here all night! Please help if you can <hyperlink>". This tweet got 70 number of likes. 
3. On 2018-01-13 11:23:01, ScottWilliams_1 handle of company williams tweeted. The tweet was "Thats why we play rugby!!!! Traveling support was outstanding, felt like a home game! 👏🏼 <mention> <hyperlink>". This tweet got 1529 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
