Abstract: In order to realize the emotional orientation analysis of movie reviews on the Internet, the film review data is crawled to obtain popular movie reviews, and text preprocessing and machine learning algorithms are used to complete the training and testing of the data, and finally the most superior sentiment classification model is constructed. The experimental results show that under the combination of all words and double words and the feature extraction of jieba’s TF-IDF and Chi-square statistics, the BP neural network and polynomial Bayesian algorithm are more suitable for the analysis of this kind of text, especially BP neural network is the best, the accuracy rate reaches 86.2%.

Key words: sentiment analysis, jieba, machine learning, Back Propagation Neural Network algorithm, Chi-square statistics