<|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 2019-01-30 19:55:13, USAIDEducation from company usaid tweeted. The tweet was "RT <mention> The #USAID USWDP supports the Ministry of Higher Education and offers several types of scholarships, including one which awards the opportunity for women to study Associates and Masters Degree level programs as a Gender Scholar. <hyperlink> <hyperlink>". The most similar tweets were, 
1. On 2018-03-22 16:03:30, MicrosoftEDU handle of company microsoft tweeted. The tweet was "The latest episode of What's New in EDU highlights new research on how and why the need exists to improve our support of women in #STEM. Learn more here: <hyperlink> #MicrosoftEDU <hyperlink>". This tweet got 59 number of likes. 
2. On 2018-08-16 19:54:46, CNN handle of company cnn tweeted. The tweet was "New York University will offer a scholarship that covers tuition to every new, current and future medical student <hyperlink> <hyperlink>". This tweet got 1044 number of likes. 
3. On 2018-08-17 07:54:06, CNN handle of company cnn tweeted. The tweet was "New York University will offer a scholarship that covers tuition to every new, current and future medical student <hyperlink> <hyperlink>". This tweet got 774 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
