Research on Opinion Classification of Stock Recommendations Based on Discourse Structure
The paper applies the method of opinion classification to the field of opinion analysis of stock forecasting.After the analysis of the discourse structure of stock recommendations,it extracts the title and the forecasting sentences and constructs Title Classifier and Body Classifier using SVM algorithm which can be fused by selecting appropriate thresholds and weights to classify recommendations into three categories(positive,neutral,and negative).To compare with PMI algorithm and SVM algorithm not based on the discourse structure,recall and precision of our System increase nearly 10%,reaching 88.0% and 86.8% respectively.