At present, the research on microblog short text has reached saturation, while the middle and long text sentences are complex and have many emotional words, which makes it difficult to classify the whole sentence.In order to solve the problem that the emotional feature extraction is not sufficient in the current micro-blog long text sentiment analysis task, which leads to the inability to extract the text sentiment semantics comprehensively, a multi-feature fusion sentiment analysis method (MBEA) combining capsule…