<|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 2018-04-16 11:07:14, USAIDAsia from company usaid tweeted. The tweet was "LAST WEEK! We are looking for Thai and other <mention> scientists and researchers to help improve policy-making as an #ASEAN S&amp;T Fellow. Apply here: <hyperlink> <hyperlink>". The most similar tweets were, 
1. On 2019-10-17 09:11:33, IndependentNGR handle of company independent tweeted. The tweet was "Thailand Hopes To Become Digital Innovation Hub In ASEAN <hyperlink> <hyperlink>". This tweet got 0 number of likes. 
2. On 2018-07-11 11:48:48, AvivaKlompas handle of company aviva tweeted. The tweet was "Thailand thanks the countries that helped with #ThaiCaveResue including <mention> 🇹🇭🇮🇱 <hyperlink>". This tweet got 92 number of likes. 
3. On 2020-04-13 09:36:35, IndependentNGR handle of company independent tweeted. The tweet was "Thailand To Adjust 20Yrs National Strategy <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
