<|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 2020-10-25 16:02:02, WhiteHouse45 from company house tweeted. The tweet was "This fall, <mention> visited New Hampshire to highlight programs at Concord Hospital that are serving children and families impacted by the opioid crisis.

She also thanked the firefighters at Manchester Fire Department Central Station for their dedication to serving the community! <hyperlink>". The most similar tweets were, 
1. On 2020-10-19 17:06:41, WalmartWorld handle of company walmart tweeted. The tweet was ""Just wanted to let them know that we're here." 💙 Hurricane Sally damaged many homes in Orange Beach, AL, last month. Store 5653 pharmacy manager Elizabeth Staton's home was one of them. That didn't stop her from checking in on her patients. Thank you, Elizabeth! 🙌🤗 <hyperlink>". This tweet got 15 number of likes. 
2. On 2020-04-27 14:47:11, MetLifeStadium handle of company metlife tweeted. The tweet was "NJ State EMS organized a clap-out to honor &amp; thank the 75 ambulances and first responders from across the country who came to help serve our state in the fight against COVID-19 for the past 2 weeks. 

👏 👏 👏 👏 

#LightItBlue 💙 <hyperlink>". This tweet got 730 number of likes. 
3. On 2020-03-12 04:11:00, CNN handle of company cnn tweeted. The tweet was ""I was really hoping that the President would have declared an emergency so that FEMA could respond to communities like ours that are going to need that kind of help," says Seattle Mayor Jenny Durkan about President Trump's coronavirus address to the nation <hyperlink>". This tweet got 676 number of 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
