Sentiment Classification of Financial Online Reviews Based on Machine Learning Algorithm
Dichen Guan · 2022
Countries or governments can learn people's opinions or views on the economic situation by referring to financial online reviews, and the sentiment classification of reviews can also help them make financial decisions, which is conducive to mining a large amount of financial information with commercial value. Effective information is of great significance to the implementation of financial policies. This paper analyzes the sentiment tendency of financial online reviews into negative reviews, positive reviews and neutral reviews, analyzes the application of support vector machine and naive Bayes classifier in review sentiment classification, and compares the performance of these two machine learning algorithms. Classification accuracy, the experimental results show that the machine learning algorithm has better classification effect on negative and positive reviews, and the classification effect on neutral reviews is average.