<|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 2018-04-08 14:00:08, CNN from company cnn tweeted. The tweet was "This Oklahoma student is excited that her textbook was used by country singer <mention> in the 1980s. Her mother is embarrassed. <hyperlink> <hyperlink>". The most similar tweets were, 
1. On 2018-04-06 16:00:21, CNN handle of company cnn tweeted. The tweet was "This Oklahoma student is excited that her textbook was used by country singer <mention> in the 1980s. Her mother is embarrassed. <hyperlink> <hyperlink>". This tweet got 1362 number of likes. 
2. On 2018-04-04 17:41:05, CNN handle of company cnn tweeted. The tweet was "These crumbling textbooks show why Oklahoma teachers are walking out <hyperlink> <hyperlink>". This tweet got 973 number of likes. 
3. On 2018-04-07 14:01:06, CNN handle of company cnn tweeted. The tweet was "When an Oklahoma teacher revealed what the chairs in her classroom look like, she didn't imagine it would drive people to donate more than $44,000 in supplies <hyperlink> <hyperlink>". This tweet got 2204 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
754<|im_end|>
