%A Ruihua Qi,Junyi Zhou,Xu Guo,Caihong Liu %T Extracting Book Review Topics with Knowledge Base %0 Journal Article %D 2019 %J Data Analysis and Knowledge Discovery %R 10.11925/infotech.2096-3467.2018.0887 %P 83-91 %V 3 %N 6 %U {https://manu44.magtech.com.cn/Jwk_infotech_wk3/CN/abstract/article_4673.shtml} %8 2019-06-25 %X

[Objective] This paper tries to extract topics from book reviews with the help of natural language semantics. [Methods] We proposed a method to retrieve the explicit and implicit topic keywords with the global semantic information from common sense knowledge base. [Results] The sentence coverage rate with the knowledge base method and the lexical diversity of the proposed method were 30.8% and 0.36% higher than those of the Double-Propagation algorithm. Then, based on the extracted topic words, we created a cluster map to identify the topic keywords identified by the nodes cluster centrality. [Limitations] There is no domain knowledge base in the field of book reviews. [Conclusions] The proposed method based on Knowledge Base improves the sentence coverage and lexical diversity of topics extracted from book reviews.