Review assessment support in Open Journal System using TextRank

International Conference on Computing and Applied Informatics 2016

物理学;计算机科学

Manalu, S.R.^1 ; Willy^1 ; Sundjaja, A.M.^2 ; Noerlina^2

School of Computer Science, Bina Nusantara University, Jl. K. H. Syahdan No. 9, Kemanggisan, Palmerah, Jakarta, Indonesia^1

School of Information System, Bina Nusantara University, Jl. K. H. Syahdan No. 9, Kemanggisan, Palmerah, Jakarta, Indonesia^2

关键词: Graph based rankings;    International journals;    Journal publishing;    Management platforms;    Open sources;    Text document;   

Others  :  https://iopscience.iop.org/article/10.1088/1742-6596/801/1/012074/pdf
DOI  :  10.1088/1742-6596/801/1/012074

学科分类：计算机科学（综合）

来源: IOP

【 摘 要 】

In this paper, a review assessment support in Open Journal System (OJS) using TextRank is proposed. OJS is an open-source journal management platform that provides a streamlined journal publishing workflow. TextRank is an unsupervised, graph-based ranking model commonly used as extractive auto summarization of text documents. This study applies the TextRank algorithm to summarize 50 article reviews from an OJS-based international journal. The resulting summaries are formed using the most representative sentences extracted from the reviews. The summaries are then used to help OJS editors in assessing a review's quality.