Due to Internet, vast amount of data is generated day by day; from those data to find useful insights, there is need to identify and extract the subjective information. Today’s trends show that people are buying any products or watching any movie on Web sites, and they write the feedbacks related to that product or movie, which will be helpful to business in terms of profit. For that, the need is analysis of written reviews which will be done by sentiment analysis. It is a method which is used to gauge opinions of individuals or groups of persons related to their products or movies. This method will extract the meaningful insights from the written reviews in the form of positive, negative, or neutral. Analysis of sentiment is also known as opinion mining. In this paper, hybrid deep learning model (CNN + LSTM) is applied on IMDB movie review dataset and performs a comparison with CNN model.