<|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 2019-01-03 20:47:21, CNN from company cnn tweeted. The tweet was "Before being sworn in as House speaker, Nancy Pelosi called up her grandchildren, as well as any other children who wanted to join her <hyperlink> <hyperlink>". The most similar tweets were, 
1. On 2019-01-05 04:30:00, CNN handle of company cnn tweeted. The tweet was "Before being sworn in as House speaker this week, Nancy Pelosi called up her grandchildren, as well as any other children who wanted to join her <hyperlink> <hyperlink>". This tweet got 964 number of likes. 
2. On 2020-11-18 12:32:04, CNNPolitics handle of company cnn tweeted. The tweet was "House Democrats to hold leadership votes as Nancy Pelosi appears on track to win the speaker nomination <hyperlink> <hyperlink>". This tweet got 778 number of likes. 
3. On 2018-11-13 17:33:09, CNNPolitics handle of company cnn tweeted. The tweet was "Nancy Pelosi on becoming House speaker again: "I have a broad base of support in the country, financially, politically and otherwise, which is valuable to our caucus. ... None of us is indispensable, but some of us are just better at our jobs than others" <hyperlink> <hyperlink>". This tweet got 2047 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
9609<|im_end|>
