Sentiment Analysis Of Maoyan Movie Reviews Based On Deep Learning

With the continuous deepening and development of the pace of reform and opening up,the momentum of my country’s economic development is changing with each passing day,global economic integration is deepening,economic ties are becoming increasingly close,and China is gradually developing from development.Country to developed country..Earthquake changes have taken place in society.The material foundation of the people has been greatly enriched.At the same time,spiritual needs are changing with each passing day,and unprecedented progress has been made in the cultural field.Among them,the development of the film field is particularly noticeable.Chinese film has changed from an artistic film production method to a market economy operation mode.The development momentum is strong.On the one hand,due to the strong support of the national authorities,the strong development of the film market has been utilized;on the other hand,with the entry of different capitals and the recognition of capital,the number of films has greatly increased.Suddenly increase.However,with the development of the Internet,more and more video websites,movie ticketing platforms and movie review platforms have also contributed to this action.The emergence of a large number of movie reviews provides a large amount of text data to study the emotional trend of movie reviews.In the past ten years,relevant scholars at home and abroad have conducted extensive discussions and in-depth research on sentiment analysis,and a series of valuable research results have emerged one after another.However,with the rapid development of the Internet,the growth of network data has exploded,accompanied by irregular and vast areas,especially the continuous growth of text data.More and more valuable text mood analysis and more and more valuable text mood analysis.higher requirement.By introducing a deep learning model,you can solve the task of Chinese text meaning analysis more effectively.This research topic is very valuable.Looking back at movies plays a very important role in helping the audience decide whether to make further choices.As an example of the popular sci-fi movie "Wandering Land" in China,this article uses the data in movie reviews to reflect the reputation and popularity of "Wandering Land" and checks whether it has been maliciously criticized by the cyber navy..After preprocessing,service processing and visual analysis of related data,review the data of the movie before March 5,2019: LLSTM-attention model,which demonstrates the mechanism of attention Convolutional neural network CNN,recurrent neural network LSTM and LSTM mutation network GRU are proposed in the paper to conduct experimental analysis,and compare the influence of different models on the sentiment analysis of movie review content,which has a guiding role in predicting future movie analysis trends.