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Open Access
Article
Publication date: 4 September 2017

Zhishuo Liu, Qianhui Shen and Jingmiao Ma

This paper aims to provide a driving behavior scoring model to decide the personalized automobile premium for each driver.

5399

Abstract

Purpose

This paper aims to provide a driving behavior scoring model to decide the personalized automobile premium for each driver.

Design/methodology/approach

Driving behavior scoring model.

Findings

The driving behavior scoring model could effectively reflect the risk level of driver’s safe driving.

Originality/value

A driving behavior scoring model for UBI.

Details

International Journal of Crowd Science, vol. 1 no. 3
Type: Research Article
ISSN: 2398-7294

Keywords

Open Access
Article
Publication date: 26 November 2018

Zhishuo Liu, Qianhui Shen, Jingmiao Ma and Ziqi Dong

This paper aims to extract the comment targets in Chinese online shopping platform.

1126

Abstract

Purpose

This paper aims to extract the comment targets in Chinese online shopping platform.

Design/methodology/approach

The authors first collect the comment texts, word segmentation, part-of-speech (POS) tagging and extracted feature words twice. Then they cluster the evaluation sentence and find the association rules between the evaluation words and the evaluation object. At the same time, they establish the association rule table. Finally, the authors can mine the evaluation object of comment sentence according to the evaluation word and the association rule table. At last, they obtain comment data from Taobao and demonstrate that the method proposed in this paper is effective by experiment.

Findings

The extracting comment target method the authors proposed in this paper is effective.

Research limitations/implications

First, the study object of extracting implicit features is review clauses, and not considering the context information, which may affect the accuracy of the feature excavation to a certain degree. Second, when extracting feature words, the low-frequency feature words are not considered, but some low-frequency feature words also contain effective information.

Practical implications

Because of the mass online reviews data, reading every comment one by one is impossible. Therefore, it is important that research on handling product comments and present useful or interest comments for clients.

Originality/value

The extracting comment target method the authors proposed in this paper is effective.

Details

International Journal of Crowd Science, vol. 2 no. 3
Type: Research Article
ISSN: 2398-7294

Keywords

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