<|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 2018-01-23 10:00:01, AetnaIntl from company aetna tweeted. The tweet was "Looking for a job in France? Our Destination Guides offer advice for relocation success. #expatlife #relocation <hyperlink> <hyperlink>". The most similar tweets were, 
1. On 2019-11-18 08:13:02, toyota_europe handle of company toyota tweeted. The tweet was "We will be in Paris again next week, November 26th for the #jobfair at ENSAM <mention>. Looking foward to seeing you there!
<hyperlink> 
<hyperlink> <hyperlink>". This tweet got 21 number of likes. 
2. On 2020-07-04 10:32:06, IndependentNGR handle of company independent tweeted. The tweet was "Air France To Make Over 7,500 Job Cuts <hyperlink> <hyperlink>". This tweet got 0 number of likes. 
3. On 2019-11-25 08:31:03, toyota_europe handle of company toyota tweeted. The tweet was "Don't forget to join us in Paris at ENSAM <mention> for the #jobfair tomorrow! 
<hyperlink> 
<hyperlink> <hyperlink>". This tweet got 13 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
