<|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 2018-07-24 07:42:33, bbcworldservice from company bbc tweeted. The tweet was "Is this Africa’s most inventive neighbourbood?
Full story: <hyperlink>
 #BBCInnovators #SocEnt #Tanzania #Inventions #Inventor <hyperlink>". The most similar tweets were, 
1. On 2020-10-02 08:52:37, thisisWurlD handle of company free tweeted. The tweet was "Found my 3rd home in the world .. see you again soon Tanzania . Still buzzed 🇹🇿 <hyperlink>". This tweet got 1352 number of likes. 
2. On 2020-12-15 17:25:01, AAAClubAlliance handle of company aaa tweeted. The tweet was "It's wild in Tanzania. Learn why you should add a trip to Tanzania to your travel bucket list! <hyperlink>

#KeepDreamingWithAAA #TravelTuesday <hyperlink>". This tweet got 0 number of likes. 
3. On 2020-12-15 17:25:01, AAAOklahoma handle of company aaa tweeted. The tweet was "It's wild in Tanzania. Learn why you should add a trip to Tanzania to your travel bucket list! <hyperlink>

#KeepDreamingWithAAA #TravelTuesday <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
