<|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 01:30:06, AAA_Travel from company aaa tweeted. The tweet was "Looks like the evening mood is set at the new <mention> #Dallas - #AAAInspector 19 <hyperlink> <hyperlink>". The most similar tweets were, 
1. On 2018-01-23 12:30:06, AAA_Travel handle of company aaa tweeted. The tweet was "This AAA Diamond Rated establishment with #Texas style speaks for itself, y’all! <mention> - #AAAInspector 66 <hyperlink> <hyperlink>". This tweet got 0 number of likes. 
2. On 2019-02-01 15:00:33, AAA_Travel handle of company aaa tweeted. The tweet was "A little piece of Berlin, and a lot more great art, ended up <mention> in Dallas, TX. - #AAAInspector 19 <hyperlink> <hyperlink>". This tweet got 0 number of likes. 
3. On 2020-07-14 20:35:15, AAASouthPenn handle of company aaa tweeted. The tweet was "Dreaming of taking in the sunset <mention>, #AZ #AAAEditor Thuyvi #grandcanyon #TravelTuesday
<hyperlink> <hyperlink>". This tweet got 0 number of likr 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
0<|im_end|>
