<|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 2018-11-26 15:53:53, BBCPolitics from company bbc tweeted. The tweet was "Jeremy Corbyn on #Brexit deal: "Failed and miserable" negotiations "leave us with the worst of all worlds"

Live updates from the Commons: <hyperlink> <hyperlink>". The most similar tweets were, 
1. On 2019-03-12 20:34:25, Independent handle of company independent tweeted. The tweet was "Jeremy Corbyn responds to vote on Theresa May's failed Brexit deal <hyperlink>". This tweet got 63 number of likes. 
2. On 2018-11-26 11:13:35, PaulWilliamsLAB handle of company williams tweeted. The tweet was "Hard Brexit? Soft Brexit?

No, two a half years of botched negotiations and the best <mention> can offer the country is a Pointless Brexit.

#bbcpoliticsnorth #peoplesvote <mention> <hyperlink>". This tweet got 186 number of likes. 
3. On 2018-07-24 00:09:39, Independent handle of company independent tweeted. The tweet was "Jeremy Corbyn to highlight economic 'benefit' of Brexit as he demands UK stop relying on 'cheap labour from abroad' <hyperlink> <hyperlink>". This tweet got 346 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
