<|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 2019-11-11 08:19:10, UNICEF from company unicef tweeted. The tweet was "A cyclone has swept through parts of Bangladesh, flooding homes and damaging roads and buildings. 
 
<mention> and partners have been working tirelessly to share early warning messages and help evacuate families.
 
#CycloneBulbul <hyperlink>". The most similar tweets were, 
1. On 2019-11-09 13:05:55, cnnbrk handle of company cnn tweeted. The tweet was "About 500,000 people have been evacuated from Bangladesh's coastal region, as the nation waits for Cyclone Bulbul to hit, an official says <hyperlink> <hyperlink>". This tweet got 592 number of likes. 
2. On 2020-03-16 10:39:07, IndependentNGR handle of company independent tweeted. The tweet was "COVID-19: Bangladesh Closes Schools <hyperlink> <hyperlink>". This tweet got 0 number of likes. 
3. On 2020-06-03 07:12:35, IndependentNGR handle of company independent tweeted. The tweet was "India’s Biggest City Mumbai Braces For Cyclone <hyperlink> <hyperlink>". This tweet got 0 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
