期刊论文

Wang, Jian-qiang

英文

KYBERNETES

0368-492X

2018

47

7

1325-1347

10.1108/K-06-2017-0211

The authors would like to thank the editors and the anonymous referees for their valuable and constructive comments and suggestions that greatly help the improvement of this paper. This work was supported by the National Natural Science Foundation of China (No. 71571193) and the Research Foundation of Education Bureau of Hunan Province, China (No. 17C0293).

本校为其他机构

Purpose: Online reviews increasingly present the characteristic of bidirectional communication with the advent of Web 2.0 era and tend to be asymmetrical and individualized in linguistic information. The authors aim to develop a new linguistic conversion model that exploits the asymmetric and personalized information from online reviews to express such linguistic information. A new online recommendation approach is provided. Design/methodology/approach: The necessity of new linguistic conversation model is elucidated, and a leverage factor is i...