Deep learning has made a great breakthrough in the field of speech and image recognition.Mature deep learning neural network has completely changed the field of natural language processing(NLP).Due to the enormous amount of data and opinions being produced,shared and transferred everyday across the Internet and other media,sentiment analysis has become one of the most active research fields in natural language processing.This paper introduces three deep learning networks applied in IMDB movie reviews sentiment analysis.Dataset was divided to 50%positive reviews and 50%negative reviews.Recurrent Neural Network(RNN)and Long Short-Term Memory(LSTM)neural networks are two main types,which are widely used in NLP tasks,while Convolutional Neural Networks(CNN)is often used in image recognition.The results have shown that,CNN network model can achieve good classification effect when applied to sentiment analysis of movie reviews.CNN have reported the accuracy of 88.22%,while RNN and LSTM have reported accuracy of 68.64%and 85.32%respectively.
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