Intent detection plays a vital role in understanding audience sentiment about particular movie. Predicting user in-tent on internet is a problematic task, which requires the combination of multiple sources of information, such as user profile, website activity or user’s internet history. Deep learning plays an important role in text classification as well as in intent detection. Amongst them, most common methods used are recurrent neural networks (RNN) and convolutional neural networks (CNN). In this paper, we use these two deep learning methods to do intent detection on the Rotten Tomatoes dataset and try to tackle the problem of predicting the user intent, based on the reviews given to particular movie. We have compared these two methods based on the accuracy of intent detection as well as the time complexity and performance. © BEIESP.