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Data Analysis and Knowledge Discovery  2019, Vol. 3 Issue (6): 83-91    DOI: 10.11925/infotech.2096-3467.2018.0887
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Extracting Book Review Topics with Knowledge Base
Ruihua Qi1,2(),Junyi Zhou1,2,Xu Guo2,Caihong Liu2
1(Linguistics Research Center, Dalian University of Foreign Languages, Dalian 116044, China)
2(Research Center for Multilingual Big Data in Cyberspace, Dalian University of Foreign Languages, Dalian 116044, China)
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[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.

Key wordsKnowledge Base      Book Review      Topic Extraction     
Received: 10 August 2018      Published: 15 August 2019

Cite this article:

Ruihua Qi,Junyi Zhou,Xu Guo,Caihong Liu. Extracting Book Review Topics with Knowledge Base. Data Analysis and Knowledge Discovery, 2019, 3(6): 83-91.

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