The authors gratefully acknowledge the financial support for this work provided by National Natural Science Foundation of China (No:71303089, 71273195 and 71420107026) and the National Basic Research Program of China (973 Program, No: 904171200).
机构署名：
本校为第一机构
院系归属：
信息管理学院
摘要：
Purpose - The purpose of this paper is to propose a novel within-document analysis tool (DAT) topic hierarchy and context-based document analysis tool (THC-DAT) which enables users to interactively analyze any multi-topic document based on fine-grained and hierarchical topics automatically extracted from it. THC-DAT used hierarchical latent Dirichlet allocation method and took the context information into account so that it can reveal the relationships between latent topics and related texts in a document. Design/methodology/approach - The methodology is a case study. The authors reviewed the ...
