The purpose of the text sentiment summarization is to express the content of the article in a concise form. A topic-based SE-TextRank emotional abstract method was proposed in this study to solve the influence of different document structure and content characteristics on abstract results. This study obtained the convergent text theme automatically through LDA model, grouped the sentence topic through the cosine distance algorithm, applied traditional multi feature fusion and SE-TextRank sentiment summary algorithm to extract the central sentence within the group, and ultimately get the purpos...
