<|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 2018-08-14 14:00:01, Tripadvisor from company tripadvisor tweeted. The tweet was "Work hard, travel harder – RT if you agree! #WhyWeTravel #TuesdayThoughts <hyperlink>". The most similar tweets were, 
1. On 2018-08-14 22:15:01, AAAOklahoma handle of company aaa tweeted. The tweet was "Spend less time finding and more time exploring with #TripTik Travel Planner. <hyperlink> #TravelTuesday <hyperlink>". This tweet got 0 number of likes. 
2. On 2020-11-24 12:33:32, AASouthAfrica handle of company aa tweeted. The tweet was "#TravelTipTuesday

2020 has been a challenging year, take the stress off your holiday with our handy Travel Checklist: <hyperlink> <hyperlink>". This tweet got 0 number of likes. 
3. On 2018-07-10 11:24:01, AAAClubAlliance handle of company aaa tweeted. The tweet was "Spend less time finding and more time exploring with #TripTik Travel Planner. <hyperlink> <hyperlink>". This tweet got 0 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
