<|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 2018-09-18 13:00:01, TotalDivas from company total tweeted. The tweet was "Last chance, <mention> fans! Ask her a question using #AskPaige and you might get an answer today! 🎉 <hyperlink>". The most similar tweets were, 
1. On 2019-11-10 17:30:00, TotalDivas handle of company total tweeted. The tweet was "This moment’s yours <mention> ❤️❤️❤️ #TotalDivas <hyperlink>". This tweet got 2384 number of likes. 
2. On 2019-10-11 16:24:47, TotalDivas handle of company total tweeted. The tweet was "Shoutout to <mention> for sharing her journey on #ComingOutDay 🌈❤️ #TotalDivas <hyperlink>". This tweet got 1305 number of likes. 
3. On 2018-02-02 17:35:14, TotalDivas handle of company total tweeted. The tweet was "The second #TotalDivas began, <mention> knew she was dealing with a special group of women. ❤️ <hyperlink>". This tweet got 876 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
2142<|im_end|>
