Assessing books’ depth and breadth via multi-level mining on tables of contents

作者：

Highlights：

• This paper aims to assess books’ depth and breadth via mining tables’ of contents.

• Books’ depth and breadth values present an approximate linear relationship.

• Books’ tables of contents could be a helpful reference for evaluating books’ wider impacts.

• Multi-level content mining is conducted in this paper.

摘要

•This paper aims to assess books’ depth and breadth via mining tables’ of contents.•Books’ depth and breadth values present an approximate linear relationship.•Books’ tables of contents could be a helpful reference for evaluating books’ wider impacts.•Multi-level content mining is conducted in this paper.

论文关键词：Book impact assessment,Depth and breadth analysis,Topic extraction,Feature extraction

论文评审过程：Received 1 July 2019, Revised 19 February 2020, Accepted 25 February 2020, Available online 4 March 2020, Version of Record 4 March 2020.

论文官网地址：https://doi.org/10.1016/j.joi.2020.101032