<|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 2018-04-17 09:54:04, bbcweather from company bbc tweeted. The tweet was "Spring warmth at last, but for many it will actually feel like #summer! Turning really warm tomorrow and Thurs. Check these temperatures out...📈🌡 Jo <hyperlink>". The most similar tweets were, 
1. On 2019-01-10 19:20:04, HobbyLobby handle of company hobby lobby tweeted. The tweet was "Who’s ready for warmer weather? ✋ Spring will be here before you know it! Shop outdoor garden items from our #SpringShop collection: <hyperlink> <hyperlink>". This tweet got 9 number of likes. 
2. On 2019-12-04 14:00:00, Emerson_News handle of company emerson tweeted. The tweet was "The weather outside might be frightful, but <mention> is filling homes with comfort and warmth this holiday season. <hyperlink> <hyperlink>". This tweet got 1 number of likes. 
3. On 2020-10-16 00:06:41, HomeFreeGuys handle of company free tweeted. The tweet was "It’s warm in LA this week as holiday time approaches. How’s the weather where you are?

Don’t forget to pre-save our next holiday song, “Christmas in LA,” releasing tomorrow! 🌴🌴 <hyperlink> <hyperlink>". This tweet got 97 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
