<|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 2019-01-07 07:30:10, CNN from company cnn tweeted. The tweet was "This Texas county just swore in 17 black female judges <hyperlink> <hyperlink>". The most similar tweets were, 
1. On 2019-01-05 14:30:11, CNN handle of company cnn tweeted. The tweet was "This Texas county just swore in 17 black female judges <hyperlink> <hyperlink>". This tweet got 1597 number of likes. 
2. On 2018-11-10 08:16:03, CNN handle of company cnn tweeted. The tweet was "17 black women made history Tuesday night in winning judicial seats in Harris County, Texas <hyperlink> <hyperlink>". This tweet got 968 number of likes. 
3. On 2019-07-17 21:13:08, CNNPolitics handle of company cnn tweeted. The tweet was "Former Texas judge leaves Republican Party: President Trump's "ideology is racism" <hyperlink> <hyperlink>". This tweet got 538 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
909<|im_end|>
