<|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 2018-01-23 06:36:08, ieEntertainment from company express tweeted. The tweet was ".<mention> launches the #OctoberinApril calendar! The film will release in cinemas on #October13thApril <mention> <mention> <mention> <mention> <mention> <hyperlink>". The most similar tweets were, 
1. On 2019-09-02 17:03:03, AMCArtisanFilms handle of company amc tweeted. The tweet was "Put on a happy face! Because we have everything you need to know about the upcoming <mention> - in theatres October 4. 😃

Read On: <hyperlink> <hyperlink>". This tweet got 9 number of likes. 
2. On 2018-05-14 18:26:54, AmazonStudios handle of company amazon tweeted. The tweet was ".<mention> arrives in theaters November 2. And no, we don’t know how to make it November 2 right now, sorry. <hyperlink>". This tweet got 672 number of likes. 
3. On 2018-10-20 17:36:02, AmexUK handle of company american express tweeted. The tweet was "Director <mention>'s debuts his dramatic film #APrivateWar at tonight's #LFF <hyperlink>". This tweet got 122 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
