<|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 2018-10-24 00:04:29, CNN from company cnn tweeted. The tweet was "Every employee at this newly opened Starbucks is fluent in American Sign Language in order to better serve the large deaf community in Washington, DC. <hyperlink> <hyperlink>". The most similar tweets were, 
1. On 2018-10-24 05:46:00, CNN handle of company cnn tweeted. The tweet was "Every employee at this newly opened Starbucks is fluent in American Sign Language in order to better serve the large deaf community in Washington, DC. <hyperlink> <hyperlink>". This tweet got 1373 number of likes. 
2. On 2018-07-19 19:19:51, CNN handle of company cnn tweeted. The tweet was "Starbucks is planning to open a branch where every employee is proficient in American Sign Language <hyperlink> via <mention> <hyperlink>". This tweet got 673 number of likes. 
3. On 2018-08-09 12:13:12, CNN handle of company cnn tweeted. The tweet was "This sign-language interpreter translates every syllable, scream and solo at live music shows to deaf people <hyperlink> <hyperlink>". This tweet got 672 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
1482<|im_end|>
