<|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 2019-01-31 14:59:07, TargetNews from company target tweeted. The tweet was "Hear from Target team members on their favorite items from our Black History Month collection: <hyperlink> <hyperlink>". The most similar tweets were, 
1. On 2020-10-16 15:01:45, TargetNews handle of company target tweeted. The tweet was "Target’s committed to championing racial equity and justice, and we’re working with <mention> to help others do the same. More on the most recent initiatives here: <hyperlink> <hyperlink>". This tweet got 75 number of likes. 
2. On 2018-06-26 20:14:13, Target handle of company target tweeted. The tweet was "Our #TargetRun with <mention> definitely exceeded our #Expectations! 💛 <hyperlink> <hyperlink>". This tweet got 575 number of likes. 
3. On 2018-10-08 14:25:47, TargetNews handle of company target tweeted. The tweet was "Say hello to Smartly, Target’s newest owned brand with most items under $2: <hyperlink> <hyperlink>". This tweet got 206 number of likr 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
94<|im_end|>
