<|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 2018-04-23 14:30:12, BofA_News from company bank of america tweeted. The tweet was "By expanding access to solar power &amp; job training in underserved communities, <mention> is working towards a clean, renewable energy future #EarthDay <hyperlink> <hyperlink>". The most similar tweets were, 
1. On 2019-05-14 15:46:28, WWF handle of company wwf tweeted. The tweet was "For the #renewable revolution to work, governments, financial institutions, the private sector, non-governmental organizations, communities, and scientists must work together. <hyperlink>". This tweet got 196 number of likes. 
2. On 2019-01-06 20:30:07, Greenpeace handle of company greenpeace tweeted. The tweet was "People everywhere: A world powered by renewables is possible!
Climate deniers: <hyperlink>". This tweet got 410 number of likes. 
3. On 2018-03-22 17:30:14, Greenpeace handle of company greenpeace tweeted. The tweet was "This used to be a coal plant. Now it’s becoming a #solar farm.
Future is #renewables ❤️ ☀️
<hyperlink> <hyperlink>". This tweet got 235 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
