<|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 2018-01-04 12:45:01, AAASouthPenn from company aaa tweeted. The tweet was "Look at our vintage 1967 map cover for #Hawaii. Love the color &amp; artwork! #travel #ThrowbackThursday <hyperlink> <hyperlink>". The most similar tweets were, 
1. On 2018-04-23 14:02:03, AAAhoosier handle of company aaa tweeted. The tweet was "🏝 The perfect #Hawaii vacation deal is yours with AAA Travel’s Aloha Days EXCLUSIVE offer! 🌺 <hyperlink> <hyperlink>". This tweet got 0 number of likes. 
2. On 2018-04-18 23:02:03, AAAhoosier handle of company aaa tweeted. The tweet was "🏝 The perfect #Hawaii vacation deal is yours with AAA Travel’s Aloha Days EXCLUSIVE offer! 🌺 <hyperlink> <hyperlink>". This tweet got 0 number of likes. 
3. On 2018-02-01 15:07:01, AAASouthPenn handle of company aaa tweeted. The tweet was "This vintage ad from 1967 is still relevant today – let AAA help plan your next trip. <hyperlink> #TBT <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|>
